id	sid	tid	token	lemma	pos
fcis-30203	1	1	frontiers	frontier	NOUN
fcis-30203	1	2	in	in	ADP
fcis-30203	1	3	computing	computing	NOUN
fcis-30203	1	4	and	and	CCONJ
fcis-30203	1	5	intelligent	intelligent	ADJ
fcis-30203	1	6	systems	system	NOUN
fcis-30203	1	7	issn	issn	VERB
fcis-30203	1	8	:	:	PUNCT
fcis-30203	1	9	2832	2832	NUM
fcis-30203	1	10	-	-	SYM
fcis-30203	1	11	6024	6024	NUM
fcis-30203	1	12	|	|	NOUN
fcis-30203	1	13	vol	vol	NOUN
fcis-30203	1	14	.	.	PROPN
fcis-30203	2	1	11	11	NUM
fcis-30203	2	2	,	,	PUNCT
fcis-30203	2	3	no	no	INTJ
fcis-30203	2	4	.	.	NOUN
fcis-30203	2	5	3	3	NUM
fcis-30203	2	6	,	,	PUNCT
fcis-30203	2	7	2025	2025	NUM
fcis-30203	2	8	127	127	NUM
fcis-30203	2	9	research	research	NOUN
fcis-30203	2	10	on	on	ADP
fcis-30203	2	11	federated	federated	ADJ
fcis-30203	2	12	learning	learn	VERB
fcis-30203	2	13	algorithms	algorithm	NOUN
fcis-30203	2	14	driven	drive	VERB
fcis-30203	2	15	by	by	ADP
fcis-30203	2	16	data	datum	NOUN
fcis-30203	2	17	heterogeneity	heterogeneity	PROPN
fcis-30203	2	18	xiaoyi	xiaoyi	PROPN
fcis-30203	2	19	zhao	zhao	PROPN
fcis-30203	2	20	,	,	PUNCT
fcis-30203	2	21	xinchen	xinchen	PROPN
fcis-30203	2	22	zhang	zhang	PROPN
fcis-30203	2	23	,	,	PUNCT
fcis-30203	2	24	shasha	shasha	PROPN
fcis-30203	2	25	wang	wang	PROPN
fcis-30203	2	26	sias	sias	PROPN
fcis-30203	2	27	university	university	PROPN
fcis-30203	2	28	,	,	PUNCT
fcis-30203	2	29	zhengzhou	zhengzhou	PROPN
fcis-30203	2	30	,	,	PUNCT
fcis-30203	2	31	henan	henan	PROPN
fcis-30203	2	32	,	,	PUNCT
fcis-30203	2	33	451100	451100	NUM
fcis-30203	2	34	,	,	PUNCT
fcis-30203	2	35	china	china	PROPN
fcis-30203	2	36	abstract	abstract	NOUN
fcis-30203	2	37	:	:	PUNCT
fcis-30203	2	38	federated	federated	ADJ
fcis-30203	2	39	learning	learning	NOUN
fcis-30203	2	40	as	as	ADP
fcis-30203	2	41	a	a	DET
fcis-30203	2	42	distributed	distribute	VERB
fcis-30203	2	43	machine	machine	NOUN
fcis-30203	2	44	learning	learning	NOUN
fcis-30203	2	45	paradigm	paradigm	NOUN
fcis-30203	2	46	enables	enable	VERB
fcis-30203	2	47	collaborative	collaborative	ADJ
fcis-30203	2	48	modeling	modeling	NOUN
fcis-30203	2	49	among	among	ADP
fcis-30203	2	50	multiple	multiple	ADJ
fcis-30203	2	51	participants	participant	NOUN
fcis-30203	2	52	while	while	SCONJ
fcis-30203	2	53	preserving	preserve	VERB
fcis-30203	2	54	data	datum	NOUN
fcis-30203	2	55	privacy	privacy	NOUN
fcis-30203	2	56	.	.	PUNCT
fcis-30203	3	1	however	however	ADV
fcis-30203	3	2	,	,	PUNCT
fcis-30203	3	3	challenges	challenge	NOUN
fcis-30203	3	4	such	such	ADJ
fcis-30203	3	5	as	as	ADP
fcis-30203	3	6	model	model	NOUN
fcis-30203	3	7	convergence	convergence	NOUN
fcis-30203	3	8	difficulties	difficulty	NOUN
fcis-30203	3	9	and	and	CCONJ
fcis-30203	3	10	low	low	ADJ
fcis-30203	3	11	communication	communication	NOUN
fcis-30203	3	12	efficiency	efficiency	NOUN
fcis-30203	3	13	caused	cause	VERB
fcis-30203	3	14	by	by	ADP
fcis-30203	3	15	client	client	NOUN
fcis-30203	3	16	-	-	PUNCT
fcis-30203	3	17	side	side	NOUN
fcis-30203	3	18	data	datum	NOUN
fcis-30203	3	19	heterogeneity	heterogeneity	NOUN
fcis-30203	3	20	remain	remain	VERB
fcis-30203	3	21	critical	critical	ADJ
fcis-30203	3	22	bottlenecks	bottleneck	NOUN
fcis-30203	3	23	hindering	hinder	VERB
fcis-30203	3	24	its	its	PRON
fcis-30203	3	25	practical	practical	ADJ
fcis-30203	3	26	applications	application	NOUN
fcis-30203	3	27	.	.	PUNCT
fcis-30203	4	1	this	this	DET
fcis-30203	4	2	paper	paper	NOUN
fcis-30203	4	3	constructs	construct	VERB
fcis-30203	4	4	a	a	DET
fcis-30203	4	5	three	three	NUM
fcis-30203	4	6	-	-	PUNCT
fcis-30203	4	7	dimensional	dimensional	ADJ
fcis-30203	4	8	analytical	analytical	ADJ
fcis-30203	4	9	framework	framework	NOUN
fcis-30203	4	10	encompassing	encompass	VERB
fcis-30203	4	11	"	"	PUNCT
fcis-30203	4	12	client	client	NOUN
fcis-30203	4	13	-	-	PUNCT
fcis-30203	4	14	local	local	ADJ
fcis-30203	4	15	optimization	optimization	NOUN
fcis-30203	4	16	,	,	PUNCT
fcis-30203	4	17	server	server	NOUN
fcis-30203	4	18	aggregation	aggregation	NOUN
fcis-30203	4	19	strategies	strategy	NOUN
fcis-30203	4	20	,	,	PUNCT
fcis-30203	4	21	and	and	CCONJ
fcis-30203	4	22	global	global	ADJ
fcis-30203	4	23	convergence	convergence	NOUN
fcis-30203	4	24	guarantees	guarantee	NOUN
fcis-30203	4	25	"	"	PUNCT
fcis-30203	4	26	based	base	VERB
fcis-30203	4	27	on	on	ADP
fcis-30203	4	28	mathematical	mathematical	ADJ
fcis-30203	4	29	characterization	characterization	NOUN
fcis-30203	4	30	of	of	ADP
fcis-30203	4	31	data	datum	NOUN
fcis-30203	4	32	heterogeneity	heterogeneity	NOUN
fcis-30203	4	33	.	.	PUNCT
fcis-30203	5	1	through	through	ADP
fcis-30203	5	2	systematic	systematic	ADJ
fcis-30203	5	3	analysis	analysis	NOUN
fcis-30203	5	4	of	of	ADP
fcis-30203	5	5	core	core	ADJ
fcis-30203	5	6	research	research	NOUN
fcis-30203	5	7	achievements	achievement	NOUN
fcis-30203	5	8	,	,	PUNCT
fcis-30203	5	9	we	we	PRON
fcis-30203	5	10	reveal	reveal	VERB
fcis-30203	5	11	evolutionary	evolutionary	ADJ
fcis-30203	5	12	patterns	pattern	NOUN
fcis-30203	5	13	of	of	ADP
fcis-30203	5	14	key	key	ADJ
fcis-30203	5	15	technical	technical	ADJ
fcis-30203	5	16	approaches	approach	NOUN
fcis-30203	5	17	including	include	VERB
fcis-30203	5	18	dynamic	dynamic	ADJ
fcis-30203	5	19	learning	learning	NOUN
fcis-30203	5	20	rate	rate	NOUN
fcis-30203	5	21	adaptation	adaptation	NOUN
fcis-30203	5	22	,	,	PUNCT
fcis-30203	5	23	gradient	gradient	ADJ
fcis-30203	5	24	correction	correction	NOUN
fcis-30203	5	25	mechanisms	mechanism	NOUN
fcis-30203	5	26	,	,	PUNCT
fcis-30203	5	27	and	and	CCONJ
fcis-30203	5	28	heterogeneity	heterogeneity	NOUN
fcis-30203	5	29	-	-	PUNCT
fcis-30203	5	30	aware	aware	ADJ
fcis-30203	5	31	regularization	regularization	NOUN
fcis-30203	5	32	.	.	PUNCT
fcis-30203	6	1	the	the	DET
fcis-30203	6	2	study	study	NOUN
fcis-30203	6	3	further	far	ADV
fcis-30203	6	4	identifies	identify	VERB
fcis-30203	6	5	three	three	NUM
fcis-30203	6	6	fundamental	fundamental	ADJ
fcis-30203	6	7	challenges	challenge	NOUN
fcis-30203	6	8	:	:	PUNCT
fcis-30203	6	9	multi	multi	ADJ
fcis-30203	6	10	-	-	ADJ
fcis-30203	6	11	objective	objective	ADJ
fcis-30203	6	12	optimization	optimization	NOUN
fcis-30203	6	13	dilemmas	dilemma	NOUN
fcis-30203	6	14	,	,	PUNCT
fcis-30203	6	15	inadequate	inadequate	ADJ
fcis-30203	6	16	adaptability	adaptability	NOUN
fcis-30203	6	17	to	to	ADP
fcis-30203	6	18	dynamic	dynamic	ADJ
fcis-30203	6	19	data	datum	NOUN
fcis-30203	6	20	drift	drift	NOUN
fcis-30203	6	21	,	,	PUNCT
fcis-30203	6	22	and	and	CCONJ
fcis-30203	6	23	theorypractice	theorypractice	NOUN
fcis-30203	6	24	gaps	gap	NOUN
fcis-30203	6	25	.	.	PUNCT
fcis-30203	7	1	future	future	ADJ
fcis-30203	7	2	breakthroughs	breakthrough	NOUN
fcis-30203	7	3	should	should	AUX
fcis-30203	7	4	focus	focus	VERB
fcis-30203	7	5	on	on	ADP
fcis-30203	7	6	cross	cross	ADJ
fcis-30203	7	7	-	-	ADJ
fcis-30203	7	8	modal	modal	ADJ
fcis-30203	7	9	knowledge	knowledge	NOUN
fcis-30203	7	10	transfer	transfer	NOUN
fcis-30203	7	11	architectures	architecture	NOUN
fcis-30203	7	12	and	and	CCONJ
fcis-30203	7	13	trusted	trust	VERB
fcis-30203	7	14	federated	federated	ADJ
fcis-30203	7	15	learning	learning	NOUN
fcis-30203	7	16	mechanisms	mechanism	NOUN
fcis-30203	7	17	to	to	PART
fcis-30203	7	18	enable	enable	VERB
fcis-30203	7	19	reliable	reliable	ADJ
fcis-30203	7	20	algorithm	algorithm	NOUN
fcis-30203	7	21	deployment	deployment	NOUN
fcis-30203	7	22	in	in	ADP
fcis-30203	7	23	open	open	ADJ
fcis-30203	7	24	environments	environment	NOUN
fcis-30203	7	25	.	.	PUNCT
fcis-30203	8	1	keywords	keyword	NOUN
fcis-30203	8	2	:	:	PUNCT
fcis-30203	8	3	federated	federated	ADJ
fcis-30203	8	4	learning	learning	NOUN
fcis-30203	8	5	;	;	PUNCT
fcis-30203	8	6	data	datum	NOUN
fcis-30203	8	7	heterogeneity	heterogeneity	NOUN
fcis-30203	8	8	;	;	PUNCT
fcis-30203	8	9	three	three	NUM
fcis-30203	8	10	-	-	PUNCT
fcis-30203	8	11	dimensional	dimensional	ADJ
fcis-30203	8	12	optimization	optimization	NOUN
fcis-30203	8	13	framework	framework	NOUN
fcis-30203	8	14	;	;	PUNCT
fcis-30203	8	15	adaptive	adaptive	ADJ
fcis-30203	8	16	optimization	optimization	NOUN
fcis-30203	8	17	.	.	PUNCT
fcis-30203	9	1	1	1	X
fcis-30203	9	2	.	.	X
fcis-30203	9	3	introduction	introduction	NOUN
fcis-30203	9	4	federated	federated	ADJ
fcis-30203	9	5	learning	learning	NOUN
fcis-30203	9	6	(	(	PUNCT
fcis-30203	9	7	fl	fl	NOUN
fcis-30203	9	8	)	)	PUNCT
fcis-30203	10	1	[	[	X
fcis-30203	10	2	1	1	NUM
fcis-30203	10	3	-	-	SYM
fcis-30203	10	4	4	4	NUM
fcis-30203	10	5	]	]	PUNCT
fcis-30203	10	6	achieves	achieve	VERB
fcis-30203	10	7	data	data	PROPN
fcis-30203	10	8	privacy	privacy	PROPN
fcis-30203	10	9	protection	protection	NOUN
fcis-30203	10	10	through	through	ADP
fcis-30203	10	11	distributed	distribute	VERB
fcis-30203	10	12	training	training	NOUN
fcis-30203	10	13	,	,	PUNCT
fcis-30203	10	14	but	but	CCONJ
fcis-30203	10	15	its	its	PRON
fcis-30203	10	16	core	core	NOUN
fcis-30203	10	17	assumption	assumption	NOUN
fcis-30203	10	18	is	be	AUX
fcis-30203	10	19	that	that	SCONJ
fcis-30203	10	20	the	the	DET
fcis-30203	10	21	data	data	NOUN
fcis-30203	10	22	is	be	AUX
fcis-30203	10	23	independent	independent	ADJ
fcis-30203	10	24	and	and	CCONJ
fcis-30203	10	25	identically	identically	ADV
fcis-30203	10	26	distributed	distribute	VERB
fcis-30203	10	27	(	(	PUNCT
fcis-30203	10	28	iid	iid	NOUN
fcis-30203	10	29	)	)	PUNCT
fcis-30203	10	30	.	.	PUNCT
fcis-30203	11	1	this	this	DET
fcis-30203	11	2	assumption	assumption	NOUN
fcis-30203	11	3	is	be	AUX
fcis-30203	11	4	often	often	ADV
fcis-30203	11	5	violated	violate	VERB
fcis-30203	11	6	in	in	ADP
fcis-30203	11	7	practical	practical	ADJ
fcis-30203	11	8	scenarios	scenario	NOUN
fcis-30203	11	9	such	such	ADJ
fcis-30203	11	10	as	as	ADP
fcis-30203	11	11	healthcare	healthcare	NOUN
fcis-30203	11	12	and	and	CCONJ
fcis-30203	11	13	the	the	DET
fcis-30203	11	14	internet	internet	NOUN
fcis-30203	11	15	of	of	ADP
fcis-30203	11	16	things	thing	NOUN
fcis-30203	11	17	(	(	PUNCT
fcis-30203	11	18	iot	iot	NOUN
fcis-30203	11	19	)	)	PUNCT
fcis-30203	11	20	.	.	PUNCT
fcis-30203	12	1	data	datum	NOUN
fcis-30203	12	2	heterogeneity	heterogeneity	NOUN
fcis-30203	12	3	manifests	manifest	NOUN
fcis-30203	12	4	as	as	ADP
fcis-30203	12	5	a	a	DET
fcis-30203	12	6	triple	triple	ADJ
fcis-30203	12	7	overlap	overlap	NOUN
fcis-30203	12	8	of	of	ADP
fcis-30203	12	9	feature	feature	NOUN
fcis-30203	12	10	distribution	distribution	NOUN
fcis-30203	12	11	shift	shift	NOUN
fcis-30203	12	12	among	among	ADP
fcis-30203	12	13	clients	client	NOUN
fcis-30203	12	14	(	(	PUNCT
fcis-30203	12	15	feature	feature	NOUN
fcis-30203	12	16	shift	shift	NOUN
fcis-30203	12	17	)	)	PUNCT
fcis-30203	12	18	,	,	PUNCT
fcis-30203	12	19	label	label	NOUN
fcis-30203	12	20	distribution	distribution	NOUN
fcis-30203	12	21	skew	skew	NOUN
fcis-30203	12	22	(	(	PUNCT
fcis-30203	12	23	label	label	NOUN
fcis-30203	12	24	skew	skew	NOUN
fcis-30203	12	25	)	)	PUNCT
fcis-30203	12	26	,	,	PUNCT
fcis-30203	12	27	and	and	CCONJ
fcis-30203	12	28	quantity	quantity	NOUN
fcis-30203	12	29	imbalance	imbalance	NOUN
fcis-30203	12	30	(	(	PUNCT
fcis-30203	12	31	quantity	quantity	NOUN
fcis-30203	12	32	imbalance	imbalance	NOUN
fcis-30203	12	33	)	)	PUNCT
fcis-30203	13	1	[	[	X
fcis-30203	13	2	5	5	NUM
fcis-30203	13	3	]	]	PUNCT
fcis-30203	13	4	.	.	PUNCT
fcis-30203	14	1	the	the	DET
fcis-30203	14	2	traditional	traditional	ADJ
fcis-30203	14	3	federated	federated	ADJ
fcis-30203	14	4	averaging	averaging	NOUN
fcis-30203	14	5	algorithm	algorithm	NOUN
fcis-30203	14	6	fedavg	fedavg	NOUN
fcis-30203	14	7	encounters	encounter	VERB
fcis-30203	14	8	issues	issue	NOUN
fcis-30203	14	9	such	such	ADJ
fcis-30203	14	10	as	as	ADP
fcis-30203	14	11	model	model	NOUN
fcis-30203	14	12	divergence	divergence	NOUN
fcis-30203	14	13	and	and	CCONJ
fcis-30203	14	14	a	a	DET
fcis-30203	14	15	significant	significant	ADJ
fcis-30203	14	16	drop	drop	NOUN
fcis-30203	14	17	in	in	ADP
fcis-30203	14	18	convergence	convergence	NOUN
fcis-30203	14	19	speed	speed	NOUN
fcis-30203	14	20	under	under	ADP
fcis-30203	14	21	non	non	ADJ
fcis-30203	14	22	-	-	ADJ
fcis-30203	14	23	independent	independent	ADJ
fcis-30203	14	24	and	and	CCONJ
fcis-30203	14	25	identically	identically	ADV
fcis-30203	14	26	distributed	distribute	VERB
fcis-30203	14	27	data	datum	NOUN
fcis-30203	14	28	[	[	X
fcis-30203	14	29	6	6	NUM
fcis-30203	14	30	-	-	SYM
fcis-30203	14	31	8	8	NUM
fcis-30203	14	32	]	]	PUNCT
fcis-30203	14	33	.	.	PUNCT
fcis-30203	15	1	on	on	ADP
fcis-30203	15	2	the	the	DET
fcis-30203	15	3	other	other	ADJ
fcis-30203	15	4	hand	hand	NOUN
fcis-30203	15	5	,	,	PUNCT
fcis-30203	15	6	heterogeneous	heterogeneous	ADJ
fcis-30203	15	7	data	datum	NOUN
fcis-30203	15	8	can	can	AUX
fcis-30203	15	9	lead	lead	VERB
fcis-30203	15	10	to	to	ADP
fcis-30203	15	11	gradient	gradient	ADJ
fcis-30203	15	12	direction	direction	NOUN
fcis-30203	15	13	conflicts	conflict	NOUN
fcis-30203	15	14	among	among	ADP
fcis-30203	15	15	clients	client	NOUN
fcis-30203	15	16	,	,	PUNCT
fcis-30203	15	17	causing	cause	VERB
fcis-30203	15	18	the	the	DET
fcis-30203	15	19	global	global	ADJ
fcis-30203	15	20	model	model	NOUN
fcis-30203	15	21	updates	update	VERB
fcis-30203	15	22	to	to	PART
fcis-30203	15	23	get	get	VERB
fcis-30203	15	24	trapped	trap	VERB
fcis-30203	15	25	in	in	ADP
fcis-30203	15	26	local	local	ADJ
fcis-30203	15	27	oscillations	oscillation	NOUN
fcis-30203	15	28	,	,	PUNCT
fcis-30203	15	29	which	which	PRON
fcis-30203	15	30	creates	create	VERB
fcis-30203	15	31	convergence	convergence	NOUN
fcis-30203	15	32	dilemmas	dilemma	NOUN
fcis-30203	15	33	.	.	PUNCT
fcis-30203	16	1	furthermore	furthermore	ADV
fcis-30203	16	2	,	,	PUNCT
fcis-30203	16	3	the	the	DET
fcis-30203	16	4	frequent	frequent	ADJ
fcis-30203	16	5	gradient	gradient	NOUN
fcis-30203	16	6	synchronization	synchronization	NOUN
fcis-30203	16	7	in	in	ADP
fcis-30203	16	8	federated	federated	ADJ
fcis-30203	16	9	learning	learning	NOUN
fcis-30203	16	10	exacerbates	exacerbate	VERB
fcis-30203	16	11	the	the	DET
fcis-30203	16	12	communication	communication	NOUN
fcis-30203	16	13	load	load	NOUN
fcis-30203	16	14	,	,	PUNCT
fcis-30203	16	15	conflicting	conflict	VERB
fcis-30203	16	16	with	with	ADP
fcis-30203	16	17	the	the	DET
fcis-30203	16	18	limited	limited	ADJ
fcis-30203	16	19	resources	resource	NOUN
fcis-30203	16	20	of	of	ADP
fcis-30203	16	21	devices	device	NOUN
fcis-30203	16	22	.	.	PUNCT
fcis-30203	17	1	to	to	PART
fcis-30203	17	2	better	well	ADV
fcis-30203	17	3	meet	meet	VERB
fcis-30203	17	4	users	user	NOUN
fcis-30203	17	5	'	'	PART
fcis-30203	17	6	privacy	privacy	NOUN
fcis-30203	17	7	needs	need	NOUN
fcis-30203	17	8	,	,	PUNCT
fcis-30203	17	9	the	the	DET
fcis-30203	17	10	introduction	introduction	NOUN
fcis-30203	17	11	of	of	ADP
fcis-30203	17	12	noise	noise	NOUN
fcis-30203	17	13	using	use	VERB
fcis-30203	17	14	protection	protection	NOUN
fcis-30203	17	15	mechanisms	mechanism	NOUN
fcis-30203	17	16	like	like	ADP
fcis-30203	17	17	differential	differential	NOUN
fcis-30203	17	18	privacy	privacy	NOUN
fcis-30203	17	19	can	can	AUX
fcis-30203	17	20	further	far	ADV
fcis-30203	17	21	degrade	degrade	VERB
fcis-30203	17	22	model	model	NOUN
fcis-30203	17	23	performance	performance	NOUN
fcis-30203	17	24	.	.	PUNCT
fcis-30203	18	1	as	as	ADP
fcis-30203	18	2	a	a	DET
fcis-30203	18	3	result	result	NOUN
fcis-30203	18	4	,	,	PUNCT
fcis-30203	18	5	a	a	DET
fcis-30203	18	6	series	series	NOUN
fcis-30203	18	7	of	of	ADP
fcis-30203	18	8	existing	exist	VERB
fcis-30203	18	9	problems	problem	NOUN
fcis-30203	18	10	have	have	AUX
fcis-30203	18	11	sparked	spark	VERB
fcis-30203	18	12	a	a	DET
fcis-30203	18	13	research	research	NOUN
fcis-30203	18	14	surge	surge	NOUN
fcis-30203	18	15	in	in	ADP
fcis-30203	18	16	adaptive	adaptive	ADJ
fcis-30203	18	17	gradient	gradient	ADJ
fcis-30203	18	18	optimization	optimization	NOUN
fcis-30203	18	19	algorithms	algorithm	NOUN
fcis-30203	18	20	.	.	PUNCT
fcis-30203	19	1	this	this	DET
fcis-30203	19	2	paper	paper	NOUN
fcis-30203	19	3	starts	start	VERB
fcis-30203	19	4	from	from	ADP
fcis-30203	19	5	the	the	DET
fcis-30203	19	6	modeling	modeling	NOUN
fcis-30203	19	7	of	of	ADP
fcis-30203	19	8	data	datum	NOUN
fcis-30203	19	9	heterogeneity	heterogeneity	NOUN
fcis-30203	19	10	,	,	PUNCT
fcis-30203	19	11	systematically	systematically	ADV
fcis-30203	19	12	classifies	classify	VERB
fcis-30203	19	13	adaptive	adaptive	ADJ
fcis-30203	19	14	gradient	gradient	ADJ
fcis-30203	19	15	optimization	optimization	NOUN
fcis-30203	19	16	methods	method	NOUN
fcis-30203	19	17	,	,	PUNCT
fcis-30203	19	18	analyzes	analyze	VERB
fcis-30203	19	19	their	their	PRON
fcis-30203	19	20	theoretical	theoretical	ADJ
fcis-30203	19	21	properties	property	NOUN
fcis-30203	19	22	,	,	PUNCT
fcis-30203	19	23	and	and	CCONJ
fcis-30203	19	24	ultimately	ultimately	ADV
fcis-30203	19	25	constructs	construct	VERB
fcis-30203	19	26	a	a	DET
fcis-30203	19	27	technical	technical	ADJ
fcis-30203	19	28	evaluation	evaluation	NOUN
fcis-30203	19	29	system	system	NOUN
fcis-30203	19	30	and	and	CCONJ
fcis-30203	19	31	explores	explore	VERB
fcis-30203	19	32	future	future	ADJ
fcis-30203	19	33	trends	trend	NOUN
fcis-30203	19	34	.	.	PUNCT
fcis-30203	20	1	2	2	X
fcis-30203	20	2	.	.	NOUN
fcis-30203	20	3	mathematical	mathematical	ADJ
fcis-30203	20	4	representation	representation	NOUN
fcis-30203	20	5	and	and	CCONJ
fcis-30203	20	6	impact	impact	NOUN
fcis-30203	20	7	of	of	ADP
fcis-30203	20	8	data	datum	NOUN
fcis-30203	20	9	heterogeneity	heterogeneity	PROPN
fcis-30203	20	10	data	datum	NOUN
fcis-30203	20	11	heterogeneity	heterogeneity	NOUN
fcis-30203	20	12	is	be	AUX
fcis-30203	20	13	a	a	DET
fcis-30203	20	14	core	core	NOUN
fcis-30203	20	15	concept	concept	NOUN
fcis-30203	20	16	in	in	ADP
fcis-30203	20	17	distributed	distribute	VERB
fcis-30203	20	18	machine	machine	NOUN
fcis-30203	20	19	learning	learning	NOUN
fcis-30203	20	20	,	,	PUNCT
fcis-30203	20	21	especially	especially	ADV
fcis-30203	20	22	in	in	ADP
fcis-30203	20	23	federated	federated	ADJ
fcis-30203	20	24	learning	learning	NOUN
fcis-30203	20	25	,	,	PUNCT
fcis-30203	20	26	referring	refer	VERB
fcis-30203	20	27	to	to	ADP
fcis-30203	20	28	the	the	DET
fcis-30203	20	29	systematic	systematic	ADJ
fcis-30203	20	30	differences	difference	NOUN
fcis-30203	20	31	in	in	ADP
fcis-30203	20	32	data	datum	NOUN
fcis-30203	20	33	distribution	distribution	NOUN
fcis-30203	20	34	,	,	PUNCT
fcis-30203	20	35	feature	feature	NOUN
fcis-30203	20	36	structure	structure	NOUN
fcis-30203	20	37	,	,	PUNCT
fcis-30203	20	38	or	or	CCONJ
fcis-30203	20	39	sample	sample	NOUN
fcis-30203	20	40	attributes	attribute	NOUN
fcis-30203	20	41	among	among	ADP
fcis-30203	20	42	different	different	ADJ
fcis-30203	20	43	data	datum	NOUN
fcis-30203	20	44	sources	source	NOUN
fcis-30203	20	45	[	[	X
fcis-30203	20	46	9,10	9,10	NUM
fcis-30203	20	47	]	]	PUNCT
fcis-30203	20	48	.	.	PUNCT
fcis-30203	21	1	these	these	DET
fcis-30203	21	2	differences	difference	NOUN
fcis-30203	21	3	can	can	AUX
fcis-30203	21	4	lead	lead	VERB
fcis-30203	21	5	to	to	ADP
fcis-30203	21	6	issues	issue	NOUN
fcis-30203	21	7	such	such	ADJ
fcis-30203	21	8	as	as	ADP
fcis-30203	21	9	parameter	parameter	NOUN
fcis-30203	21	10	update	update	NOUN
fcis-30203	21	11	conflicts	conflict	NOUN
fcis-30203	21	12	,	,	PUNCT
fcis-30203	21	13	decreased	decrease	VERB
fcis-30203	21	14	convergence	convergence	NOUN
fcis-30203	21	15	speed	speed	NOUN
fcis-30203	21	16	,	,	PUNCT
fcis-30203	21	17	and	and	CCONJ
fcis-30203	21	18	reduced	reduce	VERB
fcis-30203	21	19	generalization	generalization	NOUN
fcis-30203	21	20	ability	ability	NOUN
fcis-30203	21	21	during	during	ADP
fcis-30203	21	22	model	model	NOUN
fcis-30203	21	23	training	training	NOUN
fcis-30203	21	24	.	.	PUNCT
fcis-30203	22	1	heterogeneity	heterogeneity	NOUN
fcis-30203	22	2	in	in	ADP
fcis-30203	22	3	federated	federated	ADJ
fcis-30203	22	4	learning	learning	NOUN
fcis-30203	22	5	can	can	AUX
fcis-30203	22	6	be	be	AUX
fcis-30203	22	7	quantified	quantify	VERB
fcis-30203	22	8	through	through	ADP
fcis-30203	22	9	metrics	metric	NOUN
fcis-30203	22	10	at	at	ADP
fcis-30203	22	11	the	the	DET
fcis-30203	22	12	data	data	NOUN
fcis-30203	22	13	level	level	NOUN
fcis-30203	22	14	,	,	PUNCT
fcis-30203	22	15	model	model	NOUN
fcis-30203	22	16	level	level	NOUN
fcis-30203	22	17	,	,	PUNCT
fcis-30203	22	18	and	and	CCONJ
fcis-30203	22	19	system	system	NOUN
fcis-30203	22	20	level	level	NOUN
fcis-30203	22	21	.	.	PUNCT
fcis-30203	23	1	(	(	PUNCT
fcis-30203	23	2	1	1	X
fcis-30203	23	3	)	)	PUNCT
fcis-30203	23	4	data	data	NOUN
fcis-30203	23	5	-	-	PUNCT
fcis-30203	23	6	level	level	NOUN
fcis-30203	23	7	heterogeneity	heterogeneity	NOUN
fcis-30203	23	8	data	data	NOUN
fcis-30203	23	9	-	-	PUNCT
fcis-30203	23	10	level	level	NOUN
fcis-30203	23	11	heterogeneity	heterogeneity	NOUN
fcis-30203	23	12	primarily	primarily	ADV
fcis-30203	23	13	manifests	manifest	VERB
fcis-30203	23	14	as	as	ADP
fcis-30203	23	15	systematic	systematic	ADJ
fcis-30203	23	16	shifts	shift	NOUN
fcis-30203	23	17	in	in	ADP
fcis-30203	23	18	feature	feature	NOUN
fcis-30203	23	19	distribution	distribution	NOUN
fcis-30203	23	20	and	and	CCONJ
fcis-30203	23	21	label	label	NOUN
fcis-30203	23	22	distribution	distribution	NOUN
fcis-30203	23	23	[	[	X
fcis-30203	23	24	9	9	NUM
fcis-30203	23	25	]	]	PUNCT
fcis-30203	23	26	.	.	PUNCT
fcis-30203	24	1	the	the	DET
fcis-30203	24	2	difference	difference	NOUN
fcis-30203	24	3	in	in	ADP
fcis-30203	24	4	feature	feature	NOUN
fcis-30203	24	5	distribution	distribution	NOUN
fcis-30203	24	6	can	can	AUX
fcis-30203	24	7	be	be	AUX
fcis-30203	24	8	quantified	quantify	VERB
fcis-30203	24	9	using	use	VERB
fcis-30203	24	10	the	the	DET
fcis-30203	24	11	maximum	maximum	ADJ
fcis-30203	24	12	mean	mean	NOUN
fcis-30203	24	13	discrepancy	discrepancy	NOUN
fcis-30203	24	14	(	(	PUNCT
fcis-30203	24	15	mmd	mmd	PROPN
fcis-30203	24	16	)	)	PUNCT
fcis-30203	24	17	and	and	CCONJ
fcis-30203	24	18	wasserstein-1	wasserstein-1	NUM
fcis-30203	24	19	distance	distance	NOUN
fcis-30203	24	20	,	,	PUNCT
fcis-30203	24	21	which	which	PRON
fcis-30203	24	22	measure	measure	VERB
fcis-30203	24	23	the	the	DET
fcis-30203	24	24	geometric	geometric	ADJ
fcis-30203	24	25	structure	structure	NOUN
fcis-30203	24	26	differences	difference	NOUN
fcis-30203	24	27	in	in	ADP
fcis-30203	24	28	feature	feature	NOUN
fcis-30203	24	29	spaces	space	NOUN
fcis-30203	24	30	across	across	ADP
fcis-30203	24	31	different	different	ADJ
fcis-30203	24	32	clients	client	NOUN
fcis-30203	24	33	.	.	PUNCT
fcis-30203	25	1	label	label	NOUN
fcis-30203	25	2	distribution	distribution	NOUN
fcis-30203	25	3	differences	difference	NOUN
fcis-30203	25	4	can	can	AUX
fcis-30203	25	5	be	be	AUX
fcis-30203	25	6	evaluated	evaluate	VERB
fcis-30203	25	7	using	use	VERB
fcis-30203	25	8	kullback	kullback	NOUN
fcis-30203	25	9	-	-	PUNCT
fcis-30203	25	10	leibler	leibler	NOUN
fcis-30203	25	11	(	(	PUNCT
fcis-30203	25	12	kl	kl	NOUN
fcis-30203	25	13	)	)	PUNCT
fcis-30203	25	14	divergence	divergence	NOUN
fcis-30203	25	15	and	and	CCONJ
fcis-30203	25	16	the	the	DET
fcis-30203	25	17	skew	skew	ADJ
fcis-30203	25	18	ratio	ratio	NOUN
fcis-30203	25	19	,	,	PUNCT
fcis-30203	25	20	which	which	PRON
fcis-30203	25	21	is	be	AUX
fcis-30203	25	22	defined	define	VERB
fcis-30203	25	23	as	as	ADP
fcis-30203	25	24	the	the	DET
fcis-30203	25	25	ratio	ratio	NOUN
fcis-30203	25	26	of	of	ADP
fcis-30203	25	27	the	the	DET
fcis-30203	25	28	maximum	maximum	ADJ
fcis-30203	25	29	number	number	NOUN
fcis-30203	25	30	of	of	ADP
fcis-30203	25	31	samples	sample	NOUN
fcis-30203	25	32	in	in	ADP
fcis-30203	25	33	any	any	DET
fcis-30203	25	34	label	label	NOUN
fcis-30203	25	35	category	category	NOUN
fcis-30203	25	36	to	to	ADP
fcis-30203	25	37	the	the	DET
fcis-30203	25	38	minimum	minimum	ADJ
fcis-30203	25	39	number	number	NOUN
fcis-30203	25	40	of	of	ADP
fcis-30203	25	41	samples	sample	NOUN
fcis-30203	25	42	in	in	ADP
fcis-30203	25	43	any	any	DET
fcis-30203	25	44	label	label	NOUN
fcis-30203	25	45	category	category	NOUN
fcis-30203	25	46	.	.	PUNCT
fcis-30203	26	1	empirical	empirical	ADJ
fcis-30203	26	2	research	research	NOUN
fcis-30203	26	3	shows	show	VERB
fcis-30203	26	4	that	that	SCONJ
fcis-30203	26	5	in	in	ADP
fcis-30203	26	6	the	the	DET
fcis-30203	26	7	non	non	ADJ
fcis-30203	26	8	-	-	ADJ
fcis-30203	26	9	iid	iid	ADJ
fcis-30203	26	10	scenario	scenario	NOUN
fcis-30203	26	11	of	of	ADP
fcis-30203	26	12	cifar-10	cifar-10	PROPN
fcis-30203	26	13	,	,	PUNCT
fcis-30203	26	14	when	when	SCONJ
fcis-30203	26	15	the	the	DET
fcis-30203	26	16	label	label	NOUN
fcis-30203	26	17	skew	skew	NOUN
fcis-30203	26	18	ratio	ratio	NOUN
fcis-30203	26	19	exceeds	exceed	VERB
fcis-30203	26	20	10:1	10:1	NUM
fcis-30203	26	21	,	,	PUNCT
fcis-30203	26	22	the	the	DET
fcis-30203	26	23	gradient	gradient	ADJ
fcis-30203	26	24	conflict	conflict	NOUN
fcis-30203	26	25	index	index	NOUN
fcis-30203	26	26	(	(	PUNCT
fcis-30203	26	27	gci	gci	PROPN
fcis-30203	26	28	)	)	PUNCT
fcis-30203	26	29	is	be	AUX
fcis-30203	26	30	significantly	significantly	ADV
fcis-30203	26	31	negatively	negatively	ADV
fcis-30203	26	32	correlated	correlate	VERB
fcis-30203	26	33	with	with	ADP
fcis-30203	26	34	model	model	NOUN
fcis-30203	26	35	accuracy	accuracy	NOUN
fcis-30203	26	36	(	(	PUNCT
fcis-30203	26	37	r	r	NOUN
fcis-30203	26	38	=	=	SYM
fcis-30203	26	39	-0.82	-0.82	PROPN
fcis-30203	26	40	,	,	PUNCT
fcis-30203	26	41	p	p	X
fcis-30203	26	42	<	<	X
fcis-30203	26	43	0.01	0.01	NUM
fcis-30203	26	44	)	)	PUNCT
fcis-30203	26	45	.	.	PUNCT
fcis-30203	27	1	this	this	PRON
fcis-30203	27	2	reveals	reveal	VERB
fcis-30203	27	3	that	that	SCONJ
fcis-30203	27	4	extreme	extreme	ADJ
fcis-30203	27	5	label	label	NOUN
fcis-30203	27	6	imbalance	imbalance	NOUN
fcis-30203	27	7	can	can	AUX
fcis-30203	27	8	exacerbate	exacerbate	VERB
fcis-30203	27	9	conflicts	conflict	NOUN
fcis-30203	27	10	in	in	ADP
fcis-30203	27	11	gradient	gradient	ADJ
fcis-30203	27	12	update	update	NOUN
fcis-30203	27	13	directions	direction	NOUN
fcis-30203	27	14	,	,	PUNCT
fcis-30203	27	15	indicating	indicate	VERB
fcis-30203	27	16	the	the	DET
fcis-30203	27	17	need	need	NOUN
fcis-30203	27	18	for	for	ADP
fcis-30203	27	19	specifically	specifically	ADV
fcis-30203	27	20	designed	design	VERB
fcis-30203	27	21	gradient	gradient	NOUN
fcis-30203	27	22	coordination	coordination	NOUN
fcis-30203	27	23	strategies	strategy	NOUN
fcis-30203	27	24	.	.	PUNCT
fcis-30203	28	1	(	(	PUNCT
fcis-30203	28	2	2	2	X
fcis-30203	28	3	)	)	PUNCT
fcis-30203	28	4	model	model	ADJ
fcis-30203	28	5	-	-	PUNCT
fcis-30203	28	6	level	level	NOUN
fcis-30203	28	7	heterogeneity	heterogeneity	NOUN
fcis-30203	28	8	model	model	NOUN
fcis-30203	28	9	heterogeneity	heterogeneity	NOUN
fcis-30203	28	10	manifests	manifest	VERB
fcis-30203	28	11	in	in	ADP
fcis-30203	28	12	two	two	NUM
fcis-30203	28	13	dimensions	dimension	NOUN
fcis-30203	28	14	:	:	PUNCT
fcis-30203	28	15	parameter	parameter	NOUN
fcis-30203	28	16	space	space	NOUN
fcis-30203	28	17	differences	difference	NOUN
fcis-30203	28	18	and	and	CCONJ
fcis-30203	28	19	gradient	gradient	ADJ
fcis-30203	28	20	dynamic	dynamic	ADJ
fcis-30203	28	21	conflicts	conflict	NOUN
fcis-30203	28	22	[	[	X
fcis-30203	28	23	11	11	NUM
fcis-30203	28	24	]	]	PUNCT
fcis-30203	28	25	.	.	PUNCT
fcis-30203	29	1	parameter	parameter	PROPN
fcis-30203	29	2	space	space	NOUN
fcis-30203	29	3	differences	difference	NOUN
fcis-30203	29	4	can	can	AUX
fcis-30203	29	5	be	be	AUX
fcis-30203	29	6	measured	measure	VERB
fcis-30203	29	7	using	use	VERB
fcis-30203	29	8	the	the	DET
fcis-30203	29	9	l2	l2	NOUN
fcis-30203	29	10	divergence	divergence	NOUN
fcis-30203	29	11	of	of	ADP
fcis-30203	29	12	parameters	parameter	NOUN
fcis-30203	29	13	(	(	PUNCT
fcis-30203	29	14	the	the	DET
fcis-30203	29	15	euclidean	euclidean	ADJ
fcis-30203	29	16	distance	distance	NOUN
fcis-30203	29	17	between	between	ADP
fcis-30203	29	18	individual	individual	ADJ
fcis-30203	29	19	client	client	NOUN
fcis-30203	29	20	model	model	NOUN
fcis-30203	29	21	parameters	parameter	NOUN
fcis-30203	29	22	and	and	CCONJ
fcis-30203	29	23	global	global	ADJ
fcis-30203	29	24	parameters	parameter	NOUN
fcis-30203	29	25	)	)	PUNCT
fcis-30203	29	26	and	and	CCONJ
fcis-30203	29	27	the	the	DET
fcis-30203	29	28	jensen	jensen	PROPN
fcis-30203	29	29	-	-	PUNCT
fcis-30203	29	30	shannon	shannon	PROPN
fcis-30203	29	31	(	(	PUNCT
fcis-30203	29	32	js	js	PROPN
fcis-30203	29	33	)	)	PUNCT
fcis-30203	29	34	divergence	divergence	NOUN
fcis-30203	29	35	of	of	ADP
fcis-30203	29	36	model	model	NOUN
fcis-30203	29	37	prediction	prediction	NOUN
fcis-30203	29	38	outputs	output	NOUN
fcis-30203	29	39	(	(	PUNCT
fcis-30203	29	40	the	the	DET
fcis-30203	29	41	similarity	similarity	NOUN
fcis-30203	29	42	of	of	ADP
fcis-30203	29	43	predicted	predict	VERB
fcis-30203	29	44	probability	probability	NOUN
fcis-30203	29	45	distributions	distribution	NOUN
fcis-30203	29	46	)	)	PUNCT
fcis-30203	29	47	.	.	PUNCT
fcis-30203	30	1	gradient	gradient	ADJ
fcis-30203	30	2	dynamic	dynamic	ADJ
fcis-30203	30	3	conflicts	conflict	NOUN
fcis-30203	30	4	,	,	PUNCT
fcis-30203	30	5	on	on	ADP
fcis-30203	30	6	the	the	DET
fcis-30203	30	7	other	other	ADJ
fcis-30203	30	8	hand	hand	NOUN
fcis-30203	30	9	,	,	PUNCT
fcis-30203	30	10	can	can	AUX
fcis-30203	30	11	be	be	AUX
fcis-30203	30	12	characterized	characterize	VERB
fcis-30203	30	13	by	by	ADP
fcis-30203	30	14	the	the	DET
fcis-30203	30	15	gradient	gradient	ADJ
fcis-30203	30	16	conflict	conflict	NOUN
fcis-30203	30	17	index	index	NOUN
fcis-30203	30	18	(	(	PUNCT
fcis-30203	30	19	gci	gci	PROPN
fcis-30203	30	20	)	)	PUNCT
fcis-30203	30	21	(	(	PUNCT
fcis-30203	30	22	a	a	DET
fcis-30203	30	23	measure	measure	NOUN
fcis-30203	30	24	of	of	ADP
fcis-30203	30	25	gradient	gradient	ADJ
fcis-30203	30	26	direction	direction	NOUN
fcis-30203	30	27	consistency	consistency	NOUN
fcis-30203	30	28	)	)	PUNCT
fcis-30203	30	29	and	and	CCONJ
fcis-30203	30	30	the	the	DET
fcis-30203	30	31	update	update	NOUN
fcis-30203	30	32	direction	direction	NOUN
fcis-30203	30	33	entropy	entropy	NOUN
fcis-30203	30	34	(	(	PUNCT
fcis-30203	30	35	the	the	DET
fcis-30203	30	36	diversity	diversity	NOUN
fcis-30203	30	37	of	of	ADP
fcis-30203	30	38	parameter	parameter	NOUN
fcis-30203	30	39	update	update	NOUN
fcis-30203	30	40	directions	direction	NOUN
fcis-30203	30	41	)	)	PUNCT
fcis-30203	30	42	.	.	PUNCT
fcis-30203	31	1	for	for	ADP
fcis-30203	31	2	example	example	NOUN
fcis-30203	31	3	,	,	PUNCT
fcis-30203	31	4	the	the	DET
fcis-30203	31	5	calculation	calculation	NOUN
fcis-30203	31	6	formula	formula	NOUN
fcis-30203	31	7	for	for	ADP
fcis-30203	31	8	gci	gci	PROPN
fcis-30203	31	9	is	be	AUX
fcis-30203	31	10	as	as	SCONJ
fcis-30203	31	11	follows	follow	VERB
fcis-30203	31	12	:	:	PUNCT
fcis-30203	31	13	128	128	NUM
fcis-30203	31	14	the	the	PRON
fcis-30203	31	15	higher	high	ADJ
fcis-30203	31	16	the	the	DET
fcis-30203	31	17	value	value	NOUN
fcis-30203	31	18	,	,	PUNCT
fcis-30203	31	19	the	the	PRON
fcis-30203	31	20	greater	great	ADJ
fcis-30203	31	21	the	the	DET
fcis-30203	31	22	divergence	divergence	NOUN
fcis-30203	31	23	in	in	ADP
fcis-30203	31	24	the	the	DET
fcis-30203	31	25	gradient	gradient	ADJ
fcis-30203	31	26	directions	direction	NOUN
fcis-30203	31	27	among	among	ADP
fcis-30203	31	28	clients	client	NOUN
fcis-30203	31	29	,	,	PUNCT
fcis-30203	31	30	which	which	PRON
fcis-30203	31	31	needs	need	VERB
fcis-30203	31	32	to	to	PART
fcis-30203	31	33	be	be	AUX
fcis-30203	31	34	mitigated	mitigate	VERB
fcis-30203	31	35	through	through	ADP
fcis-30203	31	36	gradient	gradient	NOUN
fcis-30203	31	37	projection	projection	NOUN
fcis-30203	31	38	or	or	CCONJ
fcis-30203	31	39	dynamic	dynamic	ADJ
fcis-30203	31	40	weighted	weight	VERB
fcis-30203	31	41	aggregation	aggregation	NOUN
fcis-30203	31	42	.	.	PUNCT
fcis-30203	32	1	the	the	DET
fcis-30203	32	2	cosine	cosine	NOUN
fcis-30203	32	3	similarity	similarity	NOUN
fcis-30203	32	4	between	between	ADP
fcis-30203	32	5	client	client	NOUN
fcis-30203	32	6	gradient	gradient	NOUN
fcis-30203	32	7	vectors	vector	NOUN
fcis-30203	32	8	can	can	AUX
fcis-30203	32	9	be	be	AUX
fcis-30203	32	10	used	use	VERB
fcis-30203	32	11	to	to	PART
fcis-30203	32	12	quantify	quantify	VERB
fcis-30203	32	13	this	this	PRON
fcis-30203	32	14	.	.	PUNCT
fcis-30203	33	1	(	(	PUNCT
fcis-30203	33	2	3	3	X
fcis-30203	33	3	)	)	PUNCT
fcis-30203	33	4	system	system	NOUN
fcis-30203	33	5	-	-	PUNCT
fcis-30203	33	6	level	level	NOUN
fcis-30203	33	7	heterogeneity	heterogeneity	NOUN
fcis-30203	33	8	system	system	NOUN
fcis-30203	33	9	heterogeneity	heterogeneity	NOUN
fcis-30203	33	10	arises	arise	VERB
fcis-30203	33	11	from	from	ADP
fcis-30203	33	12	the	the	DET
fcis-30203	33	13	imbalance	imbalance	NOUN
fcis-30203	33	14	in	in	ADP
fcis-30203	33	15	client	client	NOUN
fcis-30203	33	16	hardware	hardware	NOUN
fcis-30203	33	17	resources	resource	NOUN
fcis-30203	33	18	and	and	CCONJ
fcis-30203	33	19	communication	communication	NOUN
fcis-30203	33	20	conditions	condition	NOUN
fcis-30203	33	21	.	.	PUNCT
fcis-30203	34	1	differences	difference	NOUN
fcis-30203	34	2	in	in	ADP
fcis-30203	34	3	computing	compute	VERB
fcis-30203	34	4	resources	resource	NOUN
fcis-30203	34	5	can	can	AUX
fcis-30203	34	6	be	be	AUX
fcis-30203	34	7	quantified	quantify	VERB
fcis-30203	34	8	by	by	ADP
fcis-30203	34	9	the	the	DET
fcis-30203	34	10	variance	variance	NOUN
fcis-30203	34	11	in	in	ADP
fcis-30203	34	12	local	local	ADJ
fcis-30203	34	13	training	training	NOUN
fcis-30203	34	14	time	time	NOUN
fcis-30203	34	15	,	,	PUNCT
fcis-30203	34	16	while	while	SCONJ
fcis-30203	34	17	communication	communication	NOUN
fcis-30203	34	18	heterogeneity	heterogeneity	NOUN
fcis-30203	34	19	is	be	AUX
fcis-30203	34	20	reflected	reflect	VERB
fcis-30203	34	21	in	in	ADP
fcis-30203	34	22	the	the	DET
fcis-30203	34	23	standard	standard	ADJ
fcis-30203	34	24	deviation	deviation	NOUN
fcis-30203	34	25	of	of	ADP
fcis-30203	34	26	client	client	NOUN
fcis-30203	34	27	participation	participation	NOUN
fcis-30203	34	28	rates	rate	NOUN
fcis-30203	34	29	and	and	CCONJ
fcis-30203	34	30	communication	communication	NOUN
fcis-30203	34	31	intervals	interval	NOUN
fcis-30203	34	32	.	.	PUNCT
fcis-30203	35	1	for	for	ADP
fcis-30203	35	2	example	example	NOUN
fcis-30203	35	3	,	,	PUNCT
fcis-30203	35	4	in	in	ADP
fcis-30203	35	5	cross	cross	ADJ
fcis-30203	35	6	-	-	ADJ
fcis-30203	35	7	device	device	ADJ
fcis-30203	35	8	federated	federated	ADJ
fcis-30203	35	9	learning	learn	VERB
fcis-30203	35	10	scenarios	scenario	NOUN
fcis-30203	35	11	,	,	PUNCT
fcis-30203	35	12	the	the	DET
fcis-30203	35	13	local	local	ADJ
fcis-30203	35	14	training	training	NOUN
fcis-30203	35	15	time	time	NOUN
fcis-30203	35	16	of	of	ADP
fcis-30203	35	17	low	low	ADJ
fcis-30203	35	18	-	-	PUNCT
fcis-30203	35	19	end	end	NOUN
fcis-30203	35	20	devices	device	NOUN
fcis-30203	35	21	may	may	AUX
fcis-30203	35	22	be	be	AUX
fcis-30203	35	23	3	3	NUM
fcis-30203	35	24	to	to	PART
fcis-30203	35	25	5	5	NUM
fcis-30203	35	26	times	time	NOUN
fcis-30203	35	27	longer	long	ADJ
fcis-30203	35	28	than	than	ADP
fcis-30203	35	29	that	that	PRON
fcis-30203	35	30	of	of	ADP
fcis-30203	35	31	high	high	ADJ
fcis-30203	35	32	-	-	PUNCT
fcis-30203	35	33	end	end	NOUN
fcis-30203	35	34	devices	device	NOUN
fcis-30203	35	35	.	.	PUNCT
fcis-30203	36	1	additionally	additionally	ADV
fcis-30203	36	2	,	,	PUNCT
fcis-30203	36	3	when	when	SCONJ
fcis-30203	36	4	the	the	DET
fcis-30203	36	5	client	client	NOUN
fcis-30203	36	6	participation	participation	NOUN
fcis-30203	36	7	rate	rate	NOUN
fcis-30203	36	8	is	be	AUX
fcis-30203	36	9	below	below	ADP
fcis-30203	36	10	30	30	NUM
fcis-30203	36	11	%	%	NOUN
fcis-30203	36	12	,	,	PUNCT
fcis-30203	36	13	the	the	DET
fcis-30203	36	14	number	number	NOUN
fcis-30203	36	15	of	of	ADP
fcis-30203	36	16	convergence	convergence	NOUN
fcis-30203	36	17	steps	step	NOUN
fcis-30203	36	18	for	for	ADP
fcis-30203	36	19	the	the	DET
fcis-30203	36	20	model	model	NOUN
fcis-30203	36	21	can	can	AUX
fcis-30203	36	22	increase	increase	VERB
fcis-30203	36	23	by	by	ADP
fcis-30203	36	24	over	over	ADP
fcis-30203	36	25	40	40	NUM
fcis-30203	36	26	%	%	NOUN
fcis-30203	36	27	.	.	PUNCT
fcis-30203	37	1	such	such	ADJ
fcis-30203	37	2	heterogeneity	heterogeneity	NOUN
fcis-30203	37	3	needs	need	VERB
fcis-30203	37	4	to	to	PART
fcis-30203	37	5	be	be	AUX
fcis-30203	37	6	optimized	optimize	VERB
fcis-30203	37	7	through	through	ADP
fcis-30203	37	8	asynchronous	asynchronous	ADJ
fcis-30203	37	9	communication	communication	NOUN
fcis-30203	37	10	protocols	protocol	NOUN
fcis-30203	37	11	or	or	CCONJ
fcis-30203	37	12	resource	resource	NOUN
fcis-30203	37	13	-	-	PUNCT
fcis-30203	37	14	aware	aware	ADJ
fcis-30203	37	15	client	client	NOUN
fcis-30203	37	16	scheduling	scheduling	NOUN
fcis-30203	37	17	strategies	strategy	NOUN
fcis-30203	37	18	.	.	PUNCT
fcis-30203	38	1	the	the	DET
fcis-30203	38	2	impact	impact	NOUN
fcis-30203	38	3	of	of	ADP
fcis-30203	38	4	data	datum	NOUN
fcis-30203	38	5	heterogeneity	heterogeneity	NOUN
fcis-30203	38	6	on	on	ADP
fcis-30203	38	7	optimization	optimization	NOUN
fcis-30203	38	8	is	be	AUX
fcis-30203	38	9	primarily	primarily	ADV
fcis-30203	38	10	manifested	manifest	VERB
fcis-30203	38	11	in	in	ADP
fcis-30203	38	12	the	the	DET
fcis-30203	38	13	exacerbation	exacerbation	NOUN
fcis-30203	38	14	of	of	ADP
fcis-30203	38	15	non	non	ADJ
fcis-30203	38	16	-	-	NOUN
fcis-30203	38	17	convexity	convexity	NOUN
fcis-30203	38	18	in	in	ADP
fcis-30203	38	19	the	the	DET
fcis-30203	38	20	objective	objective	ADJ
fcis-30203	38	21	function	function	NOUN
fcis-30203	38	22	,	,	PUNCT
fcis-30203	38	23	increased	increase	VERB
fcis-30203	38	24	gradient	gradient	ADJ
fcis-30203	38	25	variance	variance	NOUN
fcis-30203	38	26	,	,	PUNCT
fcis-30203	38	27	and	and	CCONJ
fcis-30203	38	28	reduced	reduced	ADJ
fcis-30203	38	29	convergence	convergence	NOUN
fcis-30203	38	30	speed	speed	NOUN
fcis-30203	38	31	.	.	PUNCT
fcis-30203	39	1	to	to	PART
fcis-30203	39	2	alleviate	alleviate	VERB
fcis-30203	39	3	the	the	DET
fcis-30203	39	4	issues	issue	NOUN
fcis-30203	39	5	of	of	ADP
fcis-30203	39	6	slow	slow	ADJ
fcis-30203	39	7	or	or	CCONJ
fcis-30203	39	8	non	non	ADJ
fcis-30203	39	9	-	-	ADJ
fcis-30203	39	10	converging	converging	ADJ
fcis-30203	39	11	algorithms	algorithm	NOUN
fcis-30203	39	12	caused	cause	VERB
fcis-30203	39	13	by	by	ADP
fcis-30203	39	14	data	datum	NOUN
fcis-30203	39	15	heterogeneity	heterogeneity	NOUN
fcis-30203	39	16	,	,	PUNCT
fcis-30203	39	17	some	some	DET
fcis-30203	39	18	studies	study	NOUN
fcis-30203	39	19	have	have	AUX
fcis-30203	39	20	attempted	attempt	VERB
fcis-30203	39	21	to	to	PART
fcis-30203	39	22	develop	develop	VERB
fcis-30203	39	23	effective	effective	ADJ
fcis-30203	39	24	federated	federated	ADJ
fcis-30203	39	25	learning	learn	VERB
fcis-30203	39	26	algorithms	algorithm	NOUN
fcis-30203	39	27	under	under	ADP
fcis-30203	39	28	non	non	ADJ
fcis-30203	39	29	-	-	ADJ
fcis-30203	39	30	independent	independent	ADJ
fcis-30203	39	31	and	and	CCONJ
fcis-30203	39	32	identically	identically	ADV
fcis-30203	39	33	distributed	distribute	VERB
fcis-30203	39	34	(	(	PUNCT
fcis-30203	39	35	non	non	ADJ
fcis-30203	39	36	-	-	ADJ
fcis-30203	39	37	i.i.d	i.i.d	ADJ
fcis-30203	39	38	.	.	PUNCT
fcis-30203	39	39	)	)	PUNCT
fcis-30203	40	1	data	datum	NOUN
fcis-30203	40	2	.	.	PUNCT
fcis-30203	41	1	for	for	ADP
fcis-30203	41	2	instance	instance	NOUN
fcis-30203	41	3	,	,	PUNCT
fcis-30203	41	4	reference	reference	NOUN
fcis-30203	41	5	[	[	X
fcis-30203	41	6	13	13	NUM
fcis-30203	41	7	]	]	PUNCT
fcis-30203	41	8	proposed	propose	VERB
fcis-30203	41	9	the	the	DET
fcis-30203	41	10	federated	federated	ADJ
fcis-30203	41	11	multi	multi	ADJ
fcis-30203	41	12	-	-	ADJ
fcis-30203	41	13	task	task	ADJ
fcis-30203	41	14	learning	learn	VERB
fcis-30203	41	15	framework	framework	NOUN
fcis-30203	41	16	mocha	mocha	NOUN
fcis-30203	41	17	,	,	PUNCT
fcis-30203	41	18	which	which	PRON
fcis-30203	41	19	combines	combine	VERB
fcis-30203	41	20	multi	multi	ADJ
fcis-30203	41	21	-	-	NOUN
fcis-30203	41	22	task	task	ADJ
fcis-30203	41	23	learning	learning	NOUN
fcis-30203	41	24	with	with	ADP
fcis-30203	41	25	federated	federated	ADJ
fcis-30203	41	26	learning	learning	NOUN
fcis-30203	41	27	to	to	PART
fcis-30203	41	28	address	address	VERB
fcis-30203	41	29	statistical	statistical	ADJ
fcis-30203	41	30	challenges	challenge	NOUN
fcis-30203	41	31	in	in	ADP
fcis-30203	41	32	federated	federated	ADJ
fcis-30203	41	33	learning	learning	NOUN
fcis-30203	41	34	.	.	PUNCT
fcis-30203	42	1	by	by	ADP
fcis-30203	42	2	learning	learn	VERB
fcis-30203	42	3	independent	independent	ADJ
fcis-30203	42	4	yet	yet	CCONJ
fcis-30203	42	5	related	relate	VERB
fcis-30203	42	6	models	model	NOUN
fcis-30203	42	7	for	for	ADP
fcis-30203	42	8	each	each	DET
fcis-30203	42	9	device	device	NOUN
fcis-30203	42	10	,	,	PUNCT
fcis-30203	42	11	it	it	PRON
fcis-30203	42	12	aims	aim	VERB
fcis-30203	42	13	to	to	PART
fcis-30203	42	14	achieve	achieve	VERB
fcis-30203	42	15	personalization	personalization	NOUN
fcis-30203	42	16	,	,	PUNCT
fcis-30203	42	17	although	although	SCONJ
fcis-30203	42	18	it	it	PRON
fcis-30203	42	19	is	be	AUX
fcis-30203	42	20	limited	limit	VERB
fcis-30203	42	21	to	to	PART
fcis-30203	42	22	convex	convex	VERB
fcis-30203	42	23	objectives	objective	NOUN
fcis-30203	42	24	when	when	SCONJ
fcis-30203	42	25	scaled	scale	VERB
fcis-30203	42	26	to	to	ADP
fcis-30203	42	27	large	large	ADJ
fcis-30203	42	28	networks	network	NOUN
fcis-30203	42	29	.	.	PUNCT
fcis-30203	43	1	reference	reference	NOUN
fcis-30203	43	2	[	[	X
fcis-30203	43	3	14	14	NUM
fcis-30203	43	4	]	]	PUNCT
fcis-30203	43	5	introduced	introduce	VERB
fcis-30203	43	6	fedmd	fedmd	NOUN
fcis-30203	43	7	,	,	PUNCT
fcis-30203	43	8	which	which	PRON
fcis-30203	43	9	employs	employ	VERB
fcis-30203	43	10	transfer	transfer	NOUN
fcis-30203	43	11	learning	learning	NOUN
fcis-30203	43	12	and	and	CCONJ
fcis-30203	43	13	knowledge	knowledge	NOUN
fcis-30203	43	14	distillation	distillation	NOUN
fcis-30203	43	15	to	to	PART
fcis-30203	43	16	construct	construct	VERB
fcis-30203	43	17	a	a	DET
fcis-30203	43	18	model	model	NOUN
fcis-30203	43	19	framework	framework	NOUN
fcis-30203	43	20	that	that	PRON
fcis-30203	43	21	mitigates	mitigate	VERB
fcis-30203	43	22	the	the	DET
fcis-30203	43	23	issues	issue	NOUN
fcis-30203	43	24	related	relate	VERB
fcis-30203	43	25	to	to	ADP
fcis-30203	43	26	data	datum	NOUN
fcis-30203	43	27	heterogeneity	heterogeneity	NOUN
fcis-30203	43	28	.	.	PUNCT
fcis-30203	44	1	additionally	additionally	ADV
fcis-30203	44	2	,	,	PUNCT
fcis-30203	44	3	reference	reference	NOUN
fcis-30203	44	4	[	[	X
fcis-30203	44	5	13	13	NUM
fcis-30203	44	6	]	]	PUNCT
fcis-30203	44	7	also	also	ADV
fcis-30203	44	8	introduced	introduce	VERB
fcis-30203	44	9	multi	multi	ADJ
fcis-30203	44	10	-	-	ADJ
fcis-30203	44	11	task	task	ADJ
fcis-30203	44	12	information	information	NOUN
fcis-30203	44	13	,	,	PUNCT
fcis-30203	44	14	where	where	SCONJ
fcis-30203	44	15	each	each	DET
fcis-30203	44	16	task	task	NOUN
fcis-30203	44	17	corresponds	correspond	VERB
fcis-30203	44	18	to	to	ADP
fcis-30203	44	19	a	a	DET
fcis-30203	44	20	device	device	NOUN
fcis-30203	44	21	,	,	PUNCT
fcis-30203	44	22	along	along	ADP
fcis-30203	44	23	with	with	ADP
fcis-30203	44	24	the	the	DET
fcis-30203	44	25	metalearning	metalearning	NOUN
fcis-30203	44	26	approach	approach	NOUN
fcis-30203	44	27	proposed	propose	VERB
fcis-30203	44	28	in	in	ADP
fcis-30203	44	29	reference	reference	NOUN
fcis-30203	44	30	[	[	X
fcis-30203	44	31	15	15	NUM
fcis-30203	44	32	]	]	PUNCT
fcis-30203	44	33	to	to	PART
fcis-30203	44	34	tackle	tackle	VERB
fcis-30203	44	35	problems	problem	NOUN
fcis-30203	44	36	arising	arise	VERB
fcis-30203	44	37	from	from	ADP
fcis-30203	44	38	data	datum	NOUN
fcis-30203	44	39	heterogeneity	heterogeneity	NOUN
fcis-30203	44	40	.	.	PUNCT
fcis-30203	45	1	furthermore	furthermore	ADV
fcis-30203	45	2	,	,	PUNCT
fcis-30203	45	3	reference	reference	NOUN
fcis-30203	45	4	[	[	X
fcis-30203	45	5	16	16	NUM
fcis-30203	45	6	]	]	PUNCT
fcis-30203	45	7	proposed	propose	VERB
fcis-30203	45	8	the	the	DET
fcis-30203	45	9	fedprox	fedprox	PROPN
fcis-30203	45	10	algorithm	algorithm	NOUN
fcis-30203	45	11	,	,	PUNCT
fcis-30203	45	12	while	while	SCONJ
fcis-30203	45	13	reference	reference	NOUN
fcis-30203	45	14	[	[	X
fcis-30203	45	15	8	8	NUM
fcis-30203	45	16	]	]	PUNCT
fcis-30203	45	17	developed	develop	VERB
fcis-30203	45	18	the	the	DET
fcis-30203	45	19	scaffold	scaffold	NOUN
fcis-30203	45	20	algorithm	algorithm	NOUN
fcis-30203	45	21	,	,	PUNCT
fcis-30203	45	22	and	and	CCONJ
fcis-30203	45	23	reference	reference	NOUN
fcis-30203	45	24	[	[	X
fcis-30203	45	25	17	17	NUM
fcis-30203	45	26	]	]	PUNCT
fcis-30203	45	27	researched	research	VERB
fcis-30203	45	28	the	the	DET
fcis-30203	45	29	fednova	fednova	NOUN
fcis-30203	45	30	algorithm	algorithm	NOUN
fcis-30203	45	31	to	to	PART
fcis-30203	45	32	better	well	ADV
fcis-30203	45	33	cope	cope	VERB
fcis-30203	45	34	with	with	ADP
fcis-30203	45	35	data	datum	NOUN
fcis-30203	45	36	heterogeneity	heterogeneity	NOUN
fcis-30203	45	37	.	.	PUNCT
fcis-30203	46	1	however	however	ADV
fcis-30203	46	2	,	,	PUNCT
fcis-30203	46	3	these	these	DET
fcis-30203	46	4	studies	study	NOUN
fcis-30203	46	5	lack	lack	VERB
fcis-30203	46	6	systematic	systematic	ADJ
fcis-30203	46	7	experimental	experimental	ADJ
fcis-30203	46	8	validation	validation	NOUN
fcis-30203	46	9	due	due	ADP
fcis-30203	46	10	to	to	ADP
fcis-30203	46	11	very	very	ADV
fcis-30203	46	12	strict	strict	ADJ
fcis-30203	46	13	data	datum	NOUN
fcis-30203	46	14	partitioning	partitioning	NOUN
fcis-30203	46	15	strategies	strategy	NOUN
fcis-30203	46	16	in	in	ADP
fcis-30203	46	17	previous	previous	ADJ
fcis-30203	46	18	research	research	NOUN
fcis-30203	46	19	.	.	PUNCT
fcis-30203	47	1	reference	reference	NOUN
fcis-30203	47	2	[	[	X
fcis-30203	47	3	18	18	NUM
fcis-30203	47	4	]	]	PUNCT
fcis-30203	47	5	introduced	introduce	VERB
fcis-30203	47	6	fedgen	fedgen	NOUN
fcis-30203	47	7	to	to	PART
fcis-30203	47	8	address	address	VERB
fcis-30203	47	9	the	the	DET
fcis-30203	47	10	issue	issue	NOUN
fcis-30203	47	11	of	of	ADP
fcis-30203	47	12	data	datum	NOUN
fcis-30203	47	13	heterogeneity	heterogeneity	NOUN
fcis-30203	47	14	,	,	PUNCT
fcis-30203	47	15	although	although	SCONJ
fcis-30203	47	16	this	this	DET
fcis-30203	47	17	approach	approach	NOUN
fcis-30203	47	18	may	may	AUX
fcis-30203	47	19	pose	pose	VERB
fcis-30203	47	20	risks	risk	NOUN
fcis-30203	47	21	to	to	ADP
fcis-30203	47	22	user	user	PROPN
fcis-30203	47	23	privacy	privacy	NOUN
fcis-30203	47	24	.	.	PUNCT
fcis-30203	48	1	reference	reference	NOUN
fcis-30203	49	1	[	[	X
fcis-30203	49	2	19	19	NUM
fcis-30203	49	3	]	]	PUNCT
fcis-30203	49	4	explored	explore	VERB
fcis-30203	49	5	a	a	DET
fcis-30203	49	6	multifaceted	multifaceted	ADJ
fcis-30203	49	7	solution	solution	NOUN
fcis-30203	49	8	by	by	ADP
fcis-30203	49	9	adaptively	adaptively	ADV
fcis-30203	49	10	selecting	select	VERB
fcis-30203	49	11	a	a	DET
fcis-30203	49	12	global	global	ADJ
fcis-30203	49	13	model	model	NOUN
fcis-30203	49	14	and	and	CCONJ
fcis-30203	49	15	device	device	NOUN
fcis-30203	49	16	-	-	PUNCT
fcis-30203	49	17	specific	specific	ADJ
fcis-30203	49	18	models	model	NOUN
fcis-30203	49	19	to	to	PART
fcis-30203	49	20	resolve	resolve	VERB
fcis-30203	49	21	cyclic	cyclic	ADJ
fcis-30203	49	22	patterns	pattern	NOUN
fcis-30203	49	23	in	in	ADP
fcis-30203	49	24	the	the	DET
fcis-30203	49	25	data	data	NOUN
fcis-30203	49	26	samples	sample	NOUN
fcis-30203	49	27	during	during	ADP
fcis-30203	49	28	federated	federated	ADJ
fcis-30203	49	29	learning	learning	NOUN
fcis-30203	49	30	training	training	NOUN
fcis-30203	49	31	.	.	PUNCT
fcis-30203	50	1	lastly	lastly	ADV
fcis-30203	50	2	,	,	PUNCT
fcis-30203	50	3	reference	reference	NOUN
fcis-30203	50	4	[	[	X
fcis-30203	50	5	20	20	NUM
fcis-30203	50	6	]	]	PUNCT
fcis-30203	50	7	proposed	propose	VERB
fcis-30203	50	8	to	to	PART
fcis-30203	50	9	centrally	centrally	ADV
fcis-30203	50	10	train	train	VERB
fcis-30203	50	11	a	a	DET
fcis-30203	50	12	global	global	ADJ
fcis-30203	50	13	model	model	NOUN
fcis-30203	50	14	on	on	ADP
fcis-30203	50	15	some	some	DET
fcis-30203	50	16	shared	share	VERB
fcis-30203	50	17	data	datum	NOUN
fcis-30203	50	18	and	and	CCONJ
fcis-30203	50	19	then	then	ADV
fcis-30203	50	20	use	use	VERB
fcis-30203	50	21	fedavg	fedavg	NOUN
fcis-30203	50	22	to	to	PART
fcis-30203	50	23	explore	explore	VERB
fcis-30203	50	24	personalized	personalized	ADJ
fcis-30203	50	25	transfer	transfer	NOUN
fcis-30203	50	26	learning	learning	NOUN
fcis-30203	50	27	.	.	PUNCT
fcis-30203	51	1	3	3	X
fcis-30203	51	2	.	.	X
fcis-30203	51	3	adaptive	adaptive	ADJ
fcis-30203	51	4	gradient	gradient	ADJ
fcis-30203	51	5	optimization	optimization	NOUN
fcis-30203	51	6	algorithm	algorithm	NOUN
fcis-30203	51	7	classification	classification	NOUN
fcis-30203	51	8	framework	framework	NOUN
fcis-30203	51	9	(	(	PUNCT
fcis-30203	51	10	1	1	X
fcis-30203	51	11	)	)	PUNCT
fcis-30203	51	12	client	client	NOUN
fcis-30203	51	13	local	local	ADJ
fcis-30203	51	14	optimization	optimization	NOUN
fcis-30203	51	15	layer	layer	NOUN
fcis-30203	51	16	in	in	ADP
fcis-30203	51	17	the	the	DET
fcis-30203	51	18	client	client	NOUN
fcis-30203	51	19	local	local	ADJ
fcis-30203	51	20	optimization	optimization	NOUN
fcis-30203	51	21	layer	layer	NOUN
fcis-30203	51	22	,	,	PUNCT
fcis-30203	51	23	adaptive	adaptive	ADJ
fcis-30203	51	24	gradient	gradient	NOUN
fcis-30203	51	25	optimization	optimization	NOUN
fcis-30203	51	26	algorithms	algorithm	NOUN
fcis-30203	51	27	can	can	AUX
fcis-30203	51	28	employ	employ	VERB
fcis-30203	51	29	dynamic	dynamic	ADJ
fcis-30203	51	30	learning	learning	NOUN
fcis-30203	51	31	rate	rate	NOUN
fcis-30203	51	32	adjustment	adjustment	NOUN
fcis-30203	51	33	and	and	CCONJ
fcis-30203	51	34	gradient	gradient	ADJ
fcis-30203	51	35	correction	correction	NOUN
fcis-30203	51	36	strategies	strategy	NOUN
fcis-30203	51	37	.	.	PUNCT
fcis-30203	52	1	for	for	ADP
fcis-30203	52	2	dynamic	dynamic	ADJ
fcis-30203	52	3	learning	learning	NOUN
fcis-30203	52	4	rate	rate	NOUN
fcis-30203	52	5	adjustment	adjustment	NOUN
fcis-30203	52	6	,	,	PUNCT
fcis-30203	52	7	reference	reference	NOUN
fcis-30203	52	8	[	[	X
fcis-30203	52	9	21	21	NUM
fcis-30203	52	10	]	]	PUNCT
fcis-30203	52	11	introduced	introduce	VERB
fcis-30203	52	12	the	the	DET
fcis-30203	52	13	adaptive	adaptive	ADJ
fcis-30203	52	14	moment	moment	NOUN
fcis-30203	52	15	estimation	estimation	NOUN
fcis-30203	52	16	for	for	ADP
fcis-30203	52	17	federated	federated	ADJ
fcis-30203	52	18	learning	learning	NOUN
fcis-30203	52	19	(	(	PUNCT
fcis-30203	52	20	adamfl	adamfl	ADJ
fcis-30203	52	21	)	)	PUNCT
fcis-30203	52	22	algorithm	algorithm	NOUN
fcis-30203	52	23	,	,	PUNCT
fcis-30203	52	24	which	which	PRON
fcis-30203	52	25	alleviates	alleviate	VERB
fcis-30203	52	26	gradient	gradient	ADJ
fcis-30203	52	27	oscillation	oscillation	NOUN
fcis-30203	52	28	by	by	ADP
fcis-30203	52	29	incorporating	incorporate	VERB
fcis-30203	52	30	a	a	DET
fcis-30203	52	31	local	local	ADJ
fcis-30203	52	32	momentum	momentum	NOUN
fcis-30203	52	33	term	term	NOUN
fcis-30203	52	34	at	at	ADP
fcis-30203	52	35	the	the	DET
fcis-30203	52	36	client	client	NOUN
fcis-30203	52	37	side	side	NOUN
fcis-30203	52	38	.	.	PUNCT
fcis-30203	53	1	additionally	additionally	ADV
fcis-30203	53	2	,	,	PUNCT
fcis-30203	53	3	reference	reference	NOUN
fcis-30203	53	4	[	[	X
fcis-30203	53	5	22	22	NUM
fcis-30203	53	6	]	]	PUNCT
fcis-30203	53	7	proposed	propose	VERB
fcis-30203	53	8	meta	meta	ADJ
fcis-30203	53	9	-	-	PUNCT
fcis-30203	53	10	gradient	gradient	NOUN
fcis-30203	53	11	learning	learning	NOUN
fcis-30203	53	12	,	,	PUNCT
fcis-30203	53	13	which	which	PRON
fcis-30203	53	14	utilizes	utilize	VERB
fcis-30203	53	15	a	a	DET
fcis-30203	53	16	two	two	NUM
fcis-30203	53	17	-	-	PUNCT
fcis-30203	53	18	layer	layer	NOUN
fcis-30203	53	19	optimization	optimization	NOUN
fcis-30203	53	20	approach	approach	NOUN
fcis-30203	53	21	to	to	PART
fcis-30203	53	22	automatically	automatically	ADV
fcis-30203	53	23	adjust	adjust	VERB
fcis-30203	53	24	the	the	DET
fcis-30203	53	25	learning	learning	NOUN
fcis-30203	53	26	rate	rate	NOUN
fcis-30203	53	27	parameters	parameter	NOUN
fcis-30203	53	28	.	.	PUNCT
fcis-30203	54	1	regarding	regard	VERB
fcis-30203	54	2	gradient	gradient	ADJ
fcis-30203	54	3	correction	correction	NOUN
fcis-30203	54	4	strategies	strategy	NOUN
fcis-30203	54	5	,	,	PUNCT
fcis-30203	54	6	reference	reference	NOUN
fcis-30203	54	7	[	[	X
fcis-30203	54	8	23	23	NUM
fcis-30203	54	9	]	]	PUNCT
fcis-30203	54	10	employed	employ	VERB
fcis-30203	54	11	gradient	gradient	NOUN
fcis-30203	54	12	direction	direction	NOUN
fcis-30203	54	13	alignment	alignment	NOUN
fcis-30203	54	14	by	by	ADP
fcis-30203	54	15	projecting	project	VERB
fcis-30203	54	16	client	client	NOUN
fcis-30203	54	17	gradients	gradient	NOUN
fcis-30203	54	18	onto	onto	ADP
fcis-30203	54	19	the	the	DET
fcis-30203	54	20	global	global	ADJ
fcis-30203	54	21	gradient	gradient	NOUN
fcis-30203	54	22	subspace	subspace	NOUN
fcis-30203	54	23	.	.	PUNCT
fcis-30203	55	1	meanwhile	meanwhile	ADV
fcis-30203	55	2	,	,	PUNCT
fcis-30203	55	3	reference	reference	NOUN
fcis-30203	55	4	[	[	X
fcis-30203	55	5	24	24	NUM
fcis-30203	55	6	]	]	PUNCT
fcis-30203	55	7	utilized	utilize	VERB
fcis-30203	55	8	variance	variance	NOUN
fcis-30203	55	9	reduction	reduction	NOUN
fcis-30203	55	10	techniques	technique	NOUN
fcis-30203	55	11	through	through	ADP
fcis-30203	55	12	the	the	DET
fcis-30203	55	13	storm	storm	NOUN
fcis-30203	55	14	optimizer	optimizer	NOUN
fcis-30203	55	15	to	to	PART
fcis-30203	55	16	achieve	achieve	VERB
fcis-30203	55	17	bounded	bounded	ADJ
fcis-30203	55	18	local	local	ADJ
fcis-30203	55	19	gradient	gradient	NOUN
fcis-30203	55	20	variance	variance	NOUN
fcis-30203	55	21	.	.	PUNCT
fcis-30203	56	1	these	these	DET
fcis-30203	56	2	approaches	approach	NOUN
fcis-30203	56	3	aim	aim	VERB
fcis-30203	56	4	to	to	PART
fcis-30203	56	5	enhance	enhance	VERB
fcis-30203	56	6	the	the	DET
fcis-30203	56	7	efficiency	efficiency	NOUN
fcis-30203	56	8	and	and	CCONJ
fcis-30203	56	9	effectiveness	effectiveness	NOUN
fcis-30203	56	10	of	of	ADP
fcis-30203	56	11	local	local	ADJ
fcis-30203	56	12	optimization	optimization	NOUN
fcis-30203	56	13	processes	process	NOUN
fcis-30203	56	14	in	in	ADP
fcis-30203	56	15	federated	federated	ADJ
fcis-30203	56	16	learning	learning	NOUN
fcis-30203	56	17	,	,	PUNCT
fcis-30203	56	18	addressing	address	VERB
fcis-30203	56	19	challenges	challenge	NOUN
fcis-30203	56	20	posed	pose	VERB
fcis-30203	56	21	by	by	ADP
fcis-30203	56	22	data	datum	NOUN
fcis-30203	56	23	heterogeneity	heterogeneity	NOUN
fcis-30203	56	24	and	and	CCONJ
fcis-30203	56	25	improving	improve	VERB
fcis-30203	56	26	convergence	convergence	NOUN
fcis-30203	56	27	rates	rate	NOUN
fcis-30203	56	28	.	.	PUNCT
fcis-30203	57	1	(	(	PUNCT
fcis-30203	57	2	2	2	X
fcis-30203	57	3	)	)	PUNCT
fcis-30203	57	4	server	server	NOUN
fcis-30203	57	5	aggregation	aggregation	NOUN
fcis-30203	57	6	layer	layer	NOUN
fcis-30203	57	7	in	in	ADP
fcis-30203	57	8	the	the	DET
fcis-30203	57	9	server	server	NOUN
fcis-30203	57	10	aggregation	aggregation	NOUN
fcis-30203	57	11	layer	layer	NOUN
fcis-30203	57	12	,	,	PUNCT
fcis-30203	57	13	weighted	weight	VERB
fcis-30203	57	14	aggregation	aggregation	NOUN
fcis-30203	57	15	mechanisms	mechanism	NOUN
fcis-30203	57	16	and	and	CCONJ
fcis-30203	57	17	global	global	ADJ
fcis-30203	57	18	regularization	regularization	NOUN
fcis-30203	57	19	designs	design	NOUN
fcis-30203	57	20	can	can	AUX
fcis-30203	57	21	be	be	AUX
fcis-30203	57	22	employed	employ	VERB
fcis-30203	57	23	to	to	PART
fcis-30203	57	24	enhance	enhance	VERB
fcis-30203	57	25	the	the	DET
fcis-30203	57	26	performance	performance	NOUN
fcis-30203	57	27	of	of	ADP
fcis-30203	57	28	federated	federated	ADJ
fcis-30203	57	29	learning	learning	NOUN
fcis-30203	57	30	.	.	PUNCT
fcis-30203	58	1	for	for	ADP
fcis-30203	58	2	instance	instance	NOUN
fcis-30203	58	3	,	,	PUNCT
fcis-30203	58	4	reference	reference	NOUN
fcis-30203	58	5	[	[	X
fcis-30203	58	6	25	25	NUM
fcis-30203	58	7	]	]	PUNCT
fcis-30203	58	8	introduced	introduce	VERB
fcis-30203	58	9	a	a	DET
fcis-30203	58	10	heterogeneousaware	heterogeneousaware	NOUN
fcis-30203	58	11	weight	weight	NOUN
fcis-30203	58	12	adjustment	adjustment	NOUN
fcis-30203	58	13	method	method	NOUN
fcis-30203	58	14	that	that	PRON
fcis-30203	58	15	dynamically	dynamically	ADV
fcis-30203	58	16	adjusts	adjust	VERB
fcis-30203	58	17	the	the	DET
fcis-30203	58	18	aggregation	aggregation	NOUN
fcis-30203	58	19	weights	weight	NOUN
fcis-30203	58	20	based	base	VERB
fcis-30203	58	21	on	on	ADP
fcis-30203	58	22	the	the	DET
fcis-30203	58	23	amount	amount	NOUN
fcis-30203	58	24	and	and	CCONJ
fcis-30203	58	25	distribution	distribution	NOUN
fcis-30203	58	26	differences	difference	NOUN
fcis-30203	58	27	of	of	ADP
fcis-30203	58	28	client	client	NOUN
fcis-30203	58	29	data	datum	NOUN
fcis-30203	58	30	.	.	PUNCT
fcis-30203	59	1	this	this	DET
fcis-30203	59	2	approach	approach	NOUN
fcis-30203	59	3	ensures	ensure	VERB
fcis-30203	59	4	that	that	SCONJ
fcis-30203	59	5	clients	client	NOUN
fcis-30203	59	6	with	with	ADP
fcis-30203	59	7	more	more	ADV
fcis-30203	59	8	representative	representative	ADJ
fcis-30203	59	9	or	or	CCONJ
fcis-30203	59	10	higher	high	ADJ
fcis-30203	59	11	-	-	PUNCT
fcis-30203	59	12	quality	quality	NOUN
fcis-30203	59	13	data	datum	NOUN
fcis-30203	59	14	have	have	VERB
fcis-30203	59	15	a	a	DET
fcis-30203	59	16	greater	great	ADJ
fcis-30203	59	17	influence	influence	NOUN
fcis-30203	59	18	on	on	ADP
fcis-30203	59	19	the	the	DET
fcis-30203	59	20	aggregated	aggregated	ADJ
fcis-30203	59	21	model	model	NOUN
fcis-30203	59	22	.	.	PUNCT
fcis-30203	60	1	regarding	regard	VERB
fcis-30203	60	2	global	global	ADJ
fcis-30203	60	3	regularization	regularization	NOUN
fcis-30203	60	4	,	,	PUNCT
fcis-30203	60	5	one	one	PRON
fcis-30203	60	6	can	can	AUX
fcis-30203	60	7	design	design	VERB
fcis-30203	60	8	elastic	elastic	ADJ
fcis-30203	60	9	constraint	constraint	NOUN
fcis-30203	60	10	terms	term	NOUN
fcis-30203	60	11	to	to	PART
fcis-30203	60	12	limit	limit	VERB
fcis-30203	60	13	the	the	DET
fcis-30203	60	14	magnitude	magnitude	NOUN
fcis-30203	60	15	of	of	ADP
fcis-30203	60	16	client	client	NOUN
fcis-30203	60	17	updates	update	NOUN
fcis-30203	60	18	,	,	PUNCT
fcis-30203	60	19	as	as	SCONJ
fcis-30203	60	20	suggested	suggest	VERB
fcis-30203	60	21	in	in	ADP
fcis-30203	60	22	reference	reference	NOUN
fcis-30203	60	23	[	[	X
fcis-30203	60	24	26	26	NUM
fcis-30203	60	25	]	]	PUNCT
fcis-30203	60	26	.	.	PUNCT
fcis-30203	61	1	this	this	PRON
fcis-30203	61	2	helps	help	VERB
fcis-30203	61	3	maintain	maintain	VERB
fcis-30203	61	4	stability	stability	NOUN
fcis-30203	61	5	in	in	ADP
fcis-30203	61	6	the	the	DET
fcis-30203	61	7	aggregation	aggregation	NOUN
fcis-30203	61	8	process	process	NOUN
fcis-30203	61	9	by	by	ADP
fcis-30203	61	10	preventing	prevent	VERB
fcis-30203	61	11	drastic	drastic	ADJ
fcis-30203	61	12	changes	change	NOUN
fcis-30203	61	13	that	that	PRON
fcis-30203	61	14	could	could	AUX
fcis-30203	61	15	destabilize	destabilize	VERB
fcis-30203	61	16	the	the	DET
fcis-30203	61	17	global	global	ADJ
fcis-30203	61	18	model	model	NOUN
fcis-30203	61	19	.	.	PUNCT
fcis-30203	62	1	additionally	additionally	ADV
fcis-30203	62	2	,	,	PUNCT
fcis-30203	62	3	implicit	implicit	ADJ
fcis-30203	62	4	knowledge	knowledge	NOUN
fcis-30203	62	5	fusion	fusion	NOUN
fcis-30203	62	6	can	can	AUX
fcis-30203	62	7	be	be	AUX
fcis-30203	62	8	achieved	achieve	VERB
fcis-30203	62	9	through	through	ADP
fcis-30203	62	10	the	the	DET
fcis-30203	62	11	use	use	NOUN
fcis-30203	62	12	of	of	ADP
fcis-30203	62	13	soft	soft	ADJ
fcis-30203	62	14	labels	label	NOUN
fcis-30203	62	15	,	,	PUNCT
fcis-30203	62	16	as	as	SCONJ
fcis-30203	62	17	proposed	propose	VERB
fcis-30203	62	18	in	in	ADP
fcis-30203	62	19	reference	reference	NOUN
fcis-30203	62	20	[	[	X
fcis-30203	62	21	27	27	NUM
fcis-30203	62	22	]	]	PUNCT
fcis-30203	62	23	.	.	PUNCT
fcis-30203	63	1	by	by	ADP
fcis-30203	63	2	transferring	transfer	VERB
fcis-30203	63	3	soft	soft	ADJ
fcis-30203	63	4	labels	label	NOUN
fcis-30203	63	5	during	during	ADP
fcis-30203	63	6	the	the	DET
fcis-30203	63	7	aggregation	aggregation	NOUN
fcis-30203	63	8	process	process	NOUN
fcis-30203	63	9	,	,	PUNCT
fcis-30203	63	10	the	the	DET
fcis-30203	63	11	server	server	NOUN
fcis-30203	63	12	can	can	AUX
fcis-30203	63	13	incorporate	incorporate	VERB
fcis-30203	63	14	richer	rich	ADJ
fcis-30203	63	15	information	information	NOUN
fcis-30203	63	16	from	from	ADP
fcis-30203	63	17	the	the	DET
fcis-30203	63	18	clients	client	NOUN
fcis-30203	63	19	,	,	PUNCT
fcis-30203	63	20	enhancing	enhance	VERB
fcis-30203	63	21	the	the	DET
fcis-30203	63	22	overall	overall	ADJ
fcis-30203	63	23	model	model	NOUN
fcis-30203	63	24	's	's	PART
fcis-30203	63	25	performance	performance	NOUN
fcis-30203	63	26	and	and	CCONJ
fcis-30203	63	27	generalization	generalization	NOUN
fcis-30203	63	28	ability	ability	NOUN
fcis-30203	63	29	.	.	PUNCT
fcis-30203	64	1	these	these	DET
fcis-30203	64	2	strategies	strategy	NOUN
fcis-30203	64	3	in	in	ADP
fcis-30203	64	4	the	the	DET
fcis-30203	64	5	server	server	NOUN
fcis-30203	64	6	aggregation	aggregation	NOUN
fcis-30203	64	7	layer	layer	NOUN
fcis-30203	64	8	aim	aim	VERB
fcis-30203	64	9	to	to	PART
fcis-30203	64	10	improve	improve	VERB
fcis-30203	64	11	the	the	DET
fcis-30203	64	12	robustness	robustness	NOUN
fcis-30203	64	13	and	and	CCONJ
fcis-30203	64	14	reliability	reliability	NOUN
fcis-30203	64	15	of	of	ADP
fcis-30203	64	16	the	the	DET
fcis-30203	64	17	federated	federated	ADJ
fcis-30203	64	18	learning	learning	NOUN
fcis-30203	64	19	process	process	NOUN
fcis-30203	64	20	,	,	PUNCT
fcis-30203	64	21	addressing	address	VERB
fcis-30203	64	22	issues	issue	NOUN
fcis-30203	64	23	related	relate	VERB
fcis-30203	64	24	to	to	ADP
fcis-30203	64	25	data	datum	NOUN
fcis-30203	64	26	heterogeneity	heterogeneity	NOUN
fcis-30203	64	27	and	and	CCONJ
fcis-30203	64	28	client	client	NOUN
fcis-30203	64	29	diversity	diversity	NOUN
fcis-30203	64	30	.	.	PUNCT
fcis-30203	65	1	(	(	PUNCT
fcis-30203	65	2	3	3	X
fcis-30203	65	3	)	)	PUNCT
fcis-30203	65	4	convergence	convergence	NOUN
fcis-30203	65	5	assurance	assurance	NOUN
fcis-30203	65	6	layer	layer	NOUN
fcis-30203	65	7	adaptive	adaptive	ADJ
fcis-30203	65	8	convergence	convergence	NOUN
fcis-30203	65	9	conditions	condition	NOUN
fcis-30203	65	10	include	include	VERB
fcis-30203	65	11	dynamic	dynamic	ADJ
fcis-30203	65	12	smoothing	smoothing	NOUN
fcis-30203	65	13	parameter	parameter	NOUN
fcis-30203	65	14	adjustments	adjustment	NOUN
fcis-30203	65	15	,	,	PUNCT
fcis-30203	65	16	such	such	ADJ
fcis-30203	65	17	as	as	ADP
fcis-30203	65	18	automatically	automatically	ADV
fcis-30203	65	19	adjusting	adjust	VERB
fcis-30203	65	20	the	the	DET
fcis-30203	65	21	smoothing	smooth	VERB
fcis-30203	65	22	coefficient	coefficient	NOUN
fcis-30203	65	23	of	of	ADP
fcis-30203	65	24	sgd	sgd	PROPN
fcis-30203	65	25	based	base	VERB
fcis-30203	65	26	on	on	ADP
fcis-30203	65	27	gradient	gradient	ADJ
fcis-30203	65	28	variance	variance	NOUN
fcis-30203	65	29	[	[	X
fcis-30203	65	30	28	28	NUM
fcis-30203	65	31	]	]	PUNCT
fcis-30203	65	32	,	,	PUNCT
fcis-30203	65	33	and	and	CCONJ
fcis-30203	65	34	differential	differential	VERB
fcis-30203	65	35	privacy	privacy	NOUN
fcis-30203	65	36	-	-	PUNCT
fcis-30203	65	37	compatible	compatible	ADJ
fcis-30203	65	38	optimization	optimization	NOUN
fcis-30203	65	39	,	,	PUNCT
fcis-30203	65	40	which	which	PRON
fcis-30203	65	41	ensures	ensure	VERB
fcis-30203	65	42	convergence	convergence	NOUN
fcis-30203	65	43	bounds	bound	NOUN
fcis-30203	65	44	under	under	ADP
fcis-30203	65	45	(	(	PUNCT
fcis-30203	65	46	ϵ	ϵ	X
fcis-30203	65	47	,	,	PUNCT
fcis-30203	65	48	δ)dp	δ)dp	NOUN
fcis-30203	65	49	constraints	constraint	NOUN
fcis-30203	65	50	[	[	X
fcis-30203	65	51	29	29	NUM
fcis-30203	65	52	]	]	PUNCT
fcis-30203	65	53	.	.	PUNCT
fcis-30203	66	1	4	4	X
fcis-30203	66	2	.	.	X
fcis-30203	66	3	future	future	NOUN
fcis-30203	66	4	currently	currently	ADV
fcis-30203	66	5	,	,	PUNCT
fcis-30203	66	6	federated	federated	ADJ
fcis-30203	66	7	learning	learning	NOUN
fcis-30203	66	8	faces	face	VERB
fcis-30203	66	9	several	several	ADJ
fcis-30203	66	10	challenges	challenge	NOUN
fcis-30203	66	11	,	,	PUNCT
fcis-30203	66	12	such	such	ADJ
fcis-30203	66	13	as	as	ADP
fcis-30203	66	14	the	the	DET
fcis-30203	66	15	multi	multi	ADJ
fcis-30203	66	16	-	-	ADJ
fcis-30203	66	17	objective	objective	ADJ
fcis-30203	66	18	optimization	optimization	NOUN
fcis-30203	66	19	dilemma	dilemma	NOUN
fcis-30203	66	20	,	,	PUNCT
fcis-30203	66	21	where	where	SCONJ
fcis-30203	66	22	privacy	privacy	NOUN
fcis-30203	66	23	protection	protection	NOUN
fcis-30203	66	24	,	,	PUNCT
fcis-30203	66	25	communication	communication	NOUN
fcis-30203	66	26	efficiency	efficiency	NOUN
fcis-30203	66	27	,	,	PUNCT
fcis-30203	66	28	and	and	CCONJ
fcis-30203	66	29	model	model	NOUN
fcis-30203	66	30	performance	performance	NOUN
fcis-30203	66	31	are	be	AUX
fcis-30203	66	32	difficult	difficult	ADJ
fcis-30203	66	33	to	to	PART
fcis-30203	66	34	optimize	optimize	VERB
fcis-30203	66	35	simultaneously	simultaneously	ADV
fcis-30203	66	36	,	,	PUNCT
fcis-30203	66	37	and	and	CCONJ
fcis-30203	66	38	the	the	DET
fcis-30203	66	39	lack	lack	NOUN
fcis-30203	66	40	of	of	ADP
fcis-30203	66	41	mechanisms	mechanism	NOUN
fcis-30203	66	42	to	to	PART
fcis-30203	66	43	adapt	adapt	VERB
fcis-30203	66	44	to	to	ADP
fcis-30203	66	45	dynamic	dynamic	ADJ
fcis-30203	66	46	environments	environment	NOUN
fcis-30203	66	47	,	,	PUNCT
fcis-30203	66	48	where	where	SCONJ
fcis-30203	66	49	client	client	NOUN
fcis-30203	66	50	data	datum	NOUN
fcis-30203	66	51	distributions	distribution	NOUN
fcis-30203	66	52	drift	drift	NOUN
fcis-30203	66	53	over	over	ADP
fcis-30203	66	54	time	time	NOUN
fcis-30203	66	55	.	.	PUNCT
fcis-30203	67	1	additionally	additionally	ADV
fcis-30203	67	2	,	,	PUNCT
fcis-30203	67	3	there	there	PRON
fcis-30203	67	4	is	be	VERB
fcis-30203	67	5	a	a	DET
fcis-30203	67	6	theoretical	theoretical	ADJ
fcis-30203	67	7	-	-	PUNCT
fcis-30203	67	8	practice	practice	NOUN
fcis-30203	67	9	gap	gap	NOUN
fcis-30203	67	10	,	,	PUNCT
fcis-30203	67	11	as	as	SCONJ
fcis-30203	67	12	convergence	convergence	NOUN
fcis-30203	67	13	proofs	proof	NOUN
fcis-30203	67	14	rely	rely	VERB
fcis-30203	67	15	on	on	ADP
fcis-30203	67	16	strong	strong	ADJ
fcis-30203	67	17	assumptions	assumption	NOUN
fcis-30203	67	18	,	,	PUNCT
fcis-30203	67	19	leading	lead	VERB
fcis-30203	67	20	to	to	ADP
fcis-30203	67	21	significant	significant	ADJ
fcis-30203	67	22	performance	performance	NOUN
fcis-30203	67	23	129	129	NUM
fcis-30203	67	24	fluctuations	fluctuation	NOUN
fcis-30203	67	25	in	in	ADP
fcis-30203	67	26	actual	actual	ADJ
fcis-30203	67	27	deployments	deployment	NOUN
fcis-30203	67	28	.	.	PUNCT
fcis-30203	68	1	in	in	ADP
fcis-30203	68	2	the	the	DET
fcis-30203	68	3	future	future	NOUN
fcis-30203	68	4	,	,	PUNCT
fcis-30203	68	5	we	we	PRON
fcis-30203	68	6	may	may	AUX
fcis-30203	68	7	explore	explore	VERB
fcis-30203	68	8	knowledge	knowledge	NOUN
fcis-30203	68	9	transfer	transfer	NOUN
fcis-30203	68	10	across	across	ADP
fcis-30203	68	11	clients	client	NOUN
fcis-30203	68	12	,	,	PUNCT
fcis-30203	68	13	such	such	ADJ
fcis-30203	68	14	as	as	ADP
fcis-30203	68	15	designing	design	VERB
fcis-30203	68	16	feature	feature	NOUN
fcis-30203	68	17	decoupling	decouple	VERB
fcis-30203	68	18	architectures	architecture	NOUN
fcis-30203	68	19	based	base	VERB
fcis-30203	68	20	on	on	ADP
fcis-30203	68	21	causal	causal	ADJ
fcis-30203	68	22	inference	inference	NOUN
fcis-30203	68	23	or	or	CCONJ
fcis-30203	68	24	developing	develop	VERB
fcis-30203	68	25	lightweight	lightweight	ADJ
fcis-30203	68	26	adaptive	adaptive	ADJ
fcis-30203	68	27	mechanisms	mechanism	NOUN
fcis-30203	68	28	,	,	PUNCT
fcis-30203	68	29	like	like	ADP
fcis-30203	68	30	low	low	ADJ
fcis-30203	68	31	-	-	PUNCT
fcis-30203	68	32	memory	memory	NOUN
fcis-30203	68	33	optimizers	optimizer	NOUN
fcis-30203	68	34	suitable	suitable	ADJ
fcis-30203	68	35	for	for	ADP
fcis-30203	68	36	edge	edge	NOUN
fcis-30203	68	37	devices	device	NOUN
fcis-30203	68	38	.	.	PUNCT
fcis-30203	69	1	furthermore	furthermore	ADV
fcis-30203	69	2	,	,	PUNCT
fcis-30203	69	3	we	we	PRON
fcis-30203	69	4	could	could	AUX
fcis-30203	69	5	engage	engage	VERB
fcis-30203	69	6	in	in	ADP
fcis-30203	69	7	multimodal	multimodal	ADJ
fcis-30203	69	8	heterogeneous	heterogeneous	ADJ
fcis-30203	69	9	processing	processing	NOUN
fcis-30203	69	10	,	,	PUNCT
fcis-30203	69	11	constructing	construct	VERB
fcis-30203	69	12	a	a	DET
fcis-30203	69	13	unified	unified	ADJ
fcis-30203	69	14	framework	framework	NOUN
fcis-30203	69	15	to	to	PART
fcis-30203	69	16	handle	handle	VERB
fcis-30203	69	17	mixed	mixed	ADJ
fcis-30203	69	18	scenarios	scenario	NOUN
fcis-30203	69	19	of	of	ADP
fcis-30203	69	20	image	image	NOUN
fcis-30203	69	21	,	,	PUNCT
fcis-30203	69	22	text	text	NOUN
fcis-30203	69	23	,	,	PUNCT
fcis-30203	69	24	and	and	CCONJ
fcis-30203	69	25	time	time	NOUN
fcis-30203	69	26	-	-	PUNCT
fcis-30203	69	27	series	series	NOUN
fcis-30203	69	28	data	datum	NOUN
fcis-30203	69	29	,	,	PUNCT
fcis-30203	69	30	among	among	ADP
fcis-30203	69	31	other	other	ADJ
fcis-30203	69	32	advancements	advancement	NOUN
fcis-30203	69	33	.	.	PUNCT
fcis-30203	70	1	5	5	X
fcis-30203	70	2	.	.	X
fcis-30203	70	3	conclusion	conclusion	NOUN
fcis-30203	70	4	this	this	DET
fcis-30203	70	5	paper	paper	NOUN
fcis-30203	70	6	conducts	conduct	VERB
fcis-30203	70	7	a	a	DET
fcis-30203	70	8	systematic	systematic	ADJ
fcis-30203	70	9	study	study	NOUN
fcis-30203	70	10	on	on	ADP
fcis-30203	70	11	federated	federated	ADJ
fcis-30203	70	12	learning	learn	VERB
fcis-30203	70	13	algorithms	algorithm	NOUN
fcis-30203	70	14	driven	drive	VERB
fcis-30203	70	15	by	by	ADP
fcis-30203	70	16	data	datum	NOUN
fcis-30203	70	17	heterogeneity	heterogeneity	NOUN
fcis-30203	70	18	,	,	PUNCT
fcis-30203	70	19	revealing	reveal	VERB
fcis-30203	70	20	their	their	PRON
fcis-30203	70	21	inherent	inherent	ADJ
fcis-30203	70	22	laws	law	NOUN
fcis-30203	70	23	and	and	CCONJ
fcis-30203	70	24	development	development	NOUN
fcis-30203	70	25	paths	path	NOUN
fcis-30203	70	26	from	from	ADP
fcis-30203	70	27	three	three	NUM
fcis-30203	70	28	dimensions	dimension	NOUN
fcis-30203	70	29	:	:	PUNCT
fcis-30203	70	30	theoretical	theoretical	ADJ
fcis-30203	70	31	modeling	modeling	NOUN
fcis-30203	70	32	,	,	PUNCT
fcis-30203	70	33	technical	technical	ADJ
fcis-30203	70	34	frameworks	framework	NOUN
fcis-30203	70	35	,	,	PUNCT
fcis-30203	70	36	and	and	CCONJ
fcis-30203	70	37	practical	practical	ADJ
fcis-30203	70	38	challenges	challenge	NOUN
fcis-30203	70	39	.	.	PUNCT
fcis-30203	71	1	by	by	ADP
fcis-30203	71	2	constructing	construct	VERB
fcis-30203	71	3	a	a	DET
fcis-30203	71	4	three	three	NUM
fcis-30203	71	5	-	-	PUNCT
fcis-30203	71	6	dimensional	dimensional	ADJ
fcis-30203	71	7	analytical	analytical	ADJ
fcis-30203	71	8	framework	framework	NOUN
fcis-30203	71	9	consisting	consist	VERB
fcis-30203	71	10	of	of	ADP
fcis-30203	71	11	"	"	PUNCT
fcis-30203	71	12	client	client	NOUN
fcis-30203	71	13	local	local	ADJ
fcis-30203	71	14	optimization	optimization	NOUN
fcis-30203	71	15	server	server	NOUN
fcis-30203	71	16	aggregation	aggregation	NOUN
fcis-30203	71	17	strategy	strategy	NOUN
fcis-30203	71	18	global	global	ADJ
fcis-30203	71	19	convergence	convergence	NOUN
fcis-30203	71	20	guarantee	guarantee	NOUN
fcis-30203	71	21	,	,	PUNCT
fcis-30203	71	22	"	"	PUNCT
fcis-30203	71	23	the	the	DET
fcis-30203	71	24	study	study	NOUN
fcis-30203	71	25	finds	find	VERB
fcis-30203	71	26	that	that	SCONJ
fcis-30203	71	27	:	:	PUNCT
fcis-30203	71	28	(	(	PUNCT
fcis-30203	71	29	1	1	X
fcis-30203	71	30	)	)	PUNCT
fcis-30203	71	31	dynamic	dynamic	ADJ
fcis-30203	71	32	learning	learning	NOUN
fcis-30203	71	33	rate	rate	NOUN
fcis-30203	71	34	adjustment	adjustment	NOUN
fcis-30203	71	35	and	and	CCONJ
fcis-30203	71	36	gradient	gradient	ADJ
fcis-30203	71	37	correction	correction	NOUN
fcis-30203	71	38	mechanisms	mechanism	NOUN
fcis-30203	71	39	can	can	AUX
fcis-30203	71	40	effectively	effectively	ADV
fcis-30203	71	41	alleviate	alleviate	VERB
fcis-30203	71	42	client	client	NOUN
fcis-30203	71	43	gradient	gradient	NOUN
fcis-30203	71	44	conflicts	conflict	NOUN
fcis-30203	71	45	,	,	PUNCT
fcis-30203	71	46	but	but	CCONJ
fcis-30203	71	47	differentiated	differentiated	ADJ
fcis-30203	71	48	optimization	optimization	NOUN
fcis-30203	71	49	strategies	strategy	NOUN
fcis-30203	71	50	need	need	VERB
fcis-30203	71	51	to	to	PART
fcis-30203	71	52	be	be	AUX
fcis-30203	71	53	designed	design	VERB
fcis-30203	71	54	based	base	VERB
fcis-30203	71	55	on	on	ADP
fcis-30203	71	56	data	datum	NOUN
fcis-30203	71	57	distribution	distribution	NOUN
fcis-30203	71	58	characteristics	characteristic	NOUN
fcis-30203	71	59	.	.	PUNCT
fcis-30203	72	1	(	(	PUNCT
fcis-30203	72	2	2	2	X
fcis-30203	72	3	)	)	PUNCT
fcis-30203	72	4	heterogeneity	heterogeneity	NOUN
fcis-30203	72	5	-	-	PUNCT
fcis-30203	72	6	aware	aware	ADJ
fcis-30203	72	7	regularization	regularization	NOUN
fcis-30203	72	8	methods	method	NOUN
fcis-30203	72	9	can	can	AUX
fcis-30203	72	10	explicitly	explicitly	ADV
fcis-30203	72	11	model	model	VERB
fcis-30203	72	12	statistical	statistical	ADJ
fcis-30203	72	13	differences	difference	NOUN
fcis-30203	72	14	among	among	ADP
fcis-30203	72	15	clients	client	NOUN
fcis-30203	72	16	,	,	PUNCT
fcis-30203	72	17	reducing	reduce	VERB
fcis-30203	72	18	the	the	DET
fcis-30203	72	19	global	global	ADJ
fcis-30203	72	20	model	model	NOUN
fcis-30203	72	21	bias	bias	NOUN
fcis-30203	72	22	by	by	ADP
fcis-30203	72	23	12	12	NUM
fcis-30203	72	24	%	%	NOUN
fcis-30203	72	25	to	to	PART
fcis-30203	72	26	18	18	NUM
fcis-30203	72	27	%	%	NOUN
fcis-30203	72	28	.	.	PUNCT
fcis-30203	73	1	however	however	ADV
fcis-30203	73	2	,	,	PUNCT
fcis-30203	73	3	their	their	PRON
fcis-30203	73	4	computational	computational	ADJ
fcis-30203	73	5	complexity	complexity	NOUN
fcis-30203	73	6	and	and	CCONJ
fcis-30203	73	7	privacy	privacy	NOUN
fcis-30203	73	8	leakage	leakage	NOUN
fcis-30203	73	9	risks	risk	NOUN
fcis-30203	73	10	require	require	VERB
fcis-30203	73	11	further	further	ADJ
fcis-30203	73	12	consideration	consideration	NOUN
fcis-30203	73	13	.	.	PUNCT
fcis-30203	74	1	(	(	PUNCT
fcis-30203	74	2	3	3	X
fcis-30203	74	3	)	)	PUNCT
fcis-30203	74	4	existing	exist	VERB
fcis-30203	74	5	algorithms	algorithm	NOUN
fcis-30203	74	6	exhibit	exhibit	VERB
fcis-30203	74	7	a	a	DET
fcis-30203	74	8	performance	performance	NOUN
fcis-30203	74	9	degradation	degradation	NOUN
fcis-30203	74	10	rate	rate	NOUN
fcis-30203	74	11	of	of	ADP
fcis-30203	74	12	up	up	ADP
fcis-30203	74	13	to	to	PART
fcis-30203	74	14	34	34	NUM
fcis-30203	74	15	%	%	NOUN
fcis-30203	74	16	in	in	ADP
fcis-30203	74	17	dynamic	dynamic	ADJ
fcis-30203	74	18	data	datum	NOUN
fcis-30203	74	19	drift	drift	NOUN
fcis-30203	74	20	scenarios	scenario	NOUN
fcis-30203	74	21	,	,	PUNCT
fcis-30203	74	22	highlighting	highlight	VERB
fcis-30203	74	23	the	the	DET
fcis-30203	74	24	inherent	inherent	ADJ
fcis-30203	74	25	contradiction	contradiction	NOUN
fcis-30203	74	26	between	between	ADP
fcis-30203	74	27	static	static	ADJ
fcis-30203	74	28	optimization	optimization	NOUN
fcis-30203	74	29	assumptions	assumption	NOUN
fcis-30203	74	30	and	and	CCONJ
fcis-30203	74	31	the	the	DET
fcis-30203	74	32	demands	demand	NOUN
fcis-30203	74	33	of	of	ADP
fcis-30203	74	34	open	open	ADJ
fcis-30203	74	35	environments	environment	NOUN
fcis-30203	74	36	.	.	PUNCT
fcis-30203	75	1	acknowledgments	acknowledgment	NOUN
fcis-30203	75	2	zhao	zhao	PROPN
fcis-30203	75	3	xiaoyi	xiaoyi	PROPN
fcis-30203	75	4	(	(	PUNCT
fcis-30203	75	5	1995-	1995-	NOUN
fcis-30203	75	6	)	)	PUNCT
fcis-30203	75	7	is	be	AUX
fcis-30203	75	8	a	a	DET
fcis-30203	75	9	female	female	ADJ
fcis-30203	75	10	graduate	graduate	NOUN
fcis-30203	75	11	student	student	NOUN
fcis-30203	75	12	from	from	ADP
fcis-30203	75	13	luoyang	luoyang	PROPN
fcis-30203	75	14	,	,	PUNCT
fcis-30203	75	15	henan	henan	PROPN
fcis-30203	75	16	province	province	PROPN
fcis-30203	75	17	.	.	PUNCT
fcis-30203	76	1	she	she	PRON
fcis-30203	76	2	is	be	AUX
fcis-30203	76	3	currently	currently	ADV
fcis-30203	76	4	a	a	DET
fcis-30203	76	5	teaching	teaching	NOUN
fcis-30203	76	6	assistant	assistant	NOUN
fcis-30203	76	7	with	with	ADP
fcis-30203	76	8	research	research	NOUN
fcis-30203	76	9	interests	interest	NOUN
fcis-30203	76	10	in	in	ADP
fcis-30203	76	11	federated	federated	ADJ
fcis-30203	76	12	learning	learning	NOUN
fcis-30203	76	13	,	,	PUNCT
fcis-30203	76	14	data	datum	NOUN
fcis-30203	76	15	mining	mining	NOUN
fcis-30203	76	16	,	,	PUNCT
fcis-30203	76	17	and	and	CCONJ
fcis-30203	76	18	data	datum	NOUN
fcis-30203	76	19	analysis	analysis	NOUN
fcis-30203	76	20	.	.	PUNCT
fcis-30203	77	1	she	she	PRON
fcis-30203	77	2	has	have	AUX
fcis-30203	77	3	participated	participate	VERB
fcis-30203	77	4	in	in	ADP
fcis-30203	77	5	the	the	DET
fcis-30203	77	6	henan	henan	PROPN
fcis-30203	77	7	province	province	PROPN
fcis-30203	77	8	2021	2021	NUM
fcis-30203	77	9	private	private	ADJ
fcis-30203	77	10	higher	high	ADJ
fcis-30203	77	11	education	education	NOUN
fcis-30203	77	12	institution	institution	NOUN
fcis-30203	77	13	discipline	discipline	NOUN
fcis-30203	77	14	and	and	CCONJ
fcis-30203	77	15	major	major	ADJ
fcis-30203	77	16	construction	construction	NOUN
fcis-30203	77	17	funding	funding	NOUN
fcis-30203	77	18	project	project	NOUN
fcis-30203	77	19	(	(	PUNCT
fcis-30203	77	20	software	software	NOUN
fcis-30203	77	21	engineering	engineering	NOUN
fcis-30203	77	22	program	program	NOUN
fcis-30203	77	23	)	)	PUNCT
fcis-30203	77	24	,	,	PUNCT
fcis-30203	77	25	which	which	PRON
fcis-30203	77	26	was	be	AUX
fcis-30203	77	27	initiated	initiate	VERB
fcis-30203	77	28	by	by	ADP
fcis-30203	77	29	the	the	DET
fcis-30203	77	30	henan	henan	PROPN
fcis-30203	77	31	provincial	provincial	PROPN
fcis-30203	77	32	department	department	NOUN
fcis-30203	77	33	of	of	ADP
fcis-30203	77	34	finance	finance	NOUN
fcis-30203	77	35	and	and	CCONJ
fcis-30203	77	36	the	the	DET
fcis-30203	77	37	henan	henan	PROPN
fcis-30203	77	38	provincial	provincial	PROPN
fcis-30203	77	39	department	department	PROPN
fcis-30203	77	40	of	of	ADP
fcis-30203	77	41	education	education	NOUN
fcis-30203	77	42	(	(	PUNCT
fcis-30203	77	43	document	document	NOUN
fcis-30203	77	44	no	no	INTJ
fcis-30203	77	45	.	.	PUNCT
fcis-30203	77	46	yu	yu	PROPN
fcis-30203	77	47	cai	cai	PROPN
fcis-30203	77	48	jiao	jiao	PROPN
fcis-30203	78	1	[	[	X
fcis-30203	78	2	2021	2021	NUM
fcis-30203	78	3	]	]	PUNCT
fcis-30203	78	4	16	16	NUM
fcis-30203	78	5	)	)	PUNCT
fcis-30203	78	6	.	.	PUNCT
fcis-30203	79	1	additionally	additionally	ADV
fcis-30203	79	2	,	,	PUNCT
fcis-30203	79	3	she	she	PRON
fcis-30203	79	4	is	be	AUX
fcis-30203	79	5	involved	involve	VERB
fcis-30203	79	6	in	in	ADP
fcis-30203	79	7	general	general	ADJ
fcis-30203	79	8	projects	project	NOUN
fcis-30203	79	9	at	at	ADP
fcis-30203	79	10	zhengzhou	zhengzhou	PROPN
fcis-30203	79	11	sias	sias	PROPN
fcis-30203	79	12	university	university	PROPN
fcis-30203	79	13	,	,	PUNCT
fcis-30203	79	14	including	include	VERB
fcis-30203	79	15	"	"	PUNCT
fcis-30203	79	16	research	research	NOUN
fcis-30203	79	17	on	on	ADP
fcis-30203	79	18	federated	federated	ADJ
fcis-30203	79	19	learning	learn	VERB
fcis-30203	79	20	algorithms	algorithm	NOUN
fcis-30203	79	21	based	base	VERB
fcis-30203	79	22	on	on	ADP
fcis-30203	79	23	clustering	cluster	VERB
fcis-30203	79	24	"	"	PUNCT
fcis-30203	79	25	(	(	PUNCT
fcis-30203	79	26	project	project	NOUN
fcis-30203	79	27	no	no	INTJ
fcis-30203	79	28	.	.	NOUN
fcis-30203	79	29	2024xkd085	2024xkd085	NUM
fcis-30203	79	30	)	)	PUNCT
fcis-30203	79	31	and	and	CCONJ
fcis-30203	79	32	"	"	PUNCT
fcis-30203	79	33	design	design	NOUN
fcis-30203	79	34	of	of	ADP
fcis-30203	79	35	a	a	DET
fcis-30203	79	36	blockchain	blockchain	NOUN
fcis-30203	79	37	-	-	PUNCT
fcis-30203	79	38	based	base	VERB
fcis-30203	79	39	agricultural	agricultural	ADJ
fcis-30203	79	40	product	product	NOUN
fcis-30203	79	41	traceability	traceability	NOUN
fcis-30203	79	42	system	system	NOUN
fcis-30203	79	43	"	"	PUNCT
fcis-30203	79	44	(	(	PUNCT
fcis-30203	79	45	project	project	NOUN
fcis-30203	79	46	no	no	NOUN
fcis-30203	79	47	.	.	NOUN
fcis-30203	79	48	2024	2024	NUM
fcis-30203	79	49	xkd055	xkd055	PROPN
fcis-30203	79	50	)	)	PUNCT
fcis-30203	79	51	.	.	PUNCT
fcis-30203	80	1	references	reference	NOUN
fcis-30203	80	2	[	[	X
fcis-30203	80	3	1	1	X
fcis-30203	80	4	]	]	PUNCT
fcis-30203	80	5	yang	yang	PROPN
fcis-30203	80	6	q	q	PROPN
fcis-30203	80	7	,	,	PUNCT
fcis-30203	80	8	liu	liu	PROPN
fcis-30203	80	9	y	y	PROPN
fcis-30203	80	10	,	,	PUNCT
fcis-30203	80	11	cheng	cheng	PROPN
fcis-30203	80	12	y	y	PROPN
fcis-30203	80	13	,	,	PUNCT
fcis-30203	80	14	et	et	PROPN
fcis-30203	80	15	al	al	PROPN
fcis-30203	80	16	.	.	PROPN
fcis-30203	80	17	federated	federated	ADJ
fcis-30203	80	18	learning	learning	NOUN
fcis-30203	80	19	[	[	X
fcis-30203	80	20	m	m	X
fcis-30203	80	21	]	]	X
fcis-30203	80	22	.	.	PUNCT
fcis-30203	81	1	beijing	beijing	PROPN
fcis-30203	81	2	:	:	PUNCT
fcis-30203	81	3	electronics	electronic	NOUN
fcis-30203	81	4	industry	industry	NOUN
fcis-30203	81	5	press	press	NOUN
fcis-30203	81	6	,	,	PUNCT
fcis-30203	81	7	2020	2020	NUM
fcis-30203	81	8	:	:	PUNCT
fcis-30203	81	9	2	2	NUM
fcis-30203	81	10	-	-	SYM
fcis-30203	81	11	5	5	NUM
fcis-30203	81	12	.	.	PUNCT
fcis-30203	82	1	[	[	X
fcis-30203	82	2	2	2	NUM
fcis-30203	82	3	]	]	X
fcis-30203	82	4	peng	peng	PROPN
fcis-30203	82	5	n	n	CCONJ
fcis-30203	82	6	,	,	PUNCT
fcis-30203	82	7	wang	wang	PROPN
fcis-30203	82	8	h.	h.	PROPN
fcis-30203	82	9	federated	federate	VERB
fcis-30203	82	10	learning	learn	VERB
fcis-30203	82	11	technology	technology	NOUN
fcis-30203	82	12	and	and	CCONJ
fcis-30203	82	13	practice	practice	VERB
fcis-30203	83	1	[	[	X
fcis-30203	84	1	m	m	X
fcis-30203	84	2	]	]	X
fcis-30203	84	3	.	.	PUNCT
fcis-30203	85	1	beijing	beijing	PROPN
fcis-30203	85	2	:	:	PUNCT
fcis-30203	85	3	electronics	electronic	NOUN
fcis-30203	85	4	industry	industry	NOUN
fcis-30203	85	5	press	press	NOUN
fcis-30203	85	6	,	,	PUNCT
fcis-30203	85	7	2021	2021	NUM
fcis-30203	85	8	:	:	PUNCT
fcis-30203	85	9	340	340	NUM
fcis-30203	85	10	.	.	PUNCT
fcis-30203	86	1	[	[	X
fcis-30203	86	2	3	3	X
fcis-30203	86	3	]	]	X
fcis-30203	86	4	konecny	konecny	PROPN
fcis-30203	86	5	j	j	PROPN
fcis-30203	86	6	,	,	PUNCT
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fcis-30203	86	8	h	h	PROPN
fcis-30203	86	9	b	b	PROPN
fcis-30203	86	10	,	,	PUNCT
fcis-30203	86	11	yu	yu	PROPN
fcis-30203	86	12	f	f	PROPN
fcis-30203	86	13	x	x	PROPN
fcis-30203	86	14	,	,	PUNCT
fcis-30203	86	15	et	et	PROPN
fcis-30203	86	16	al	al	PROPN
fcis-30203	86	17	.	.	PROPN
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fcis-30203	86	19	learning	learning	NOUN
fcis-30203	86	20	:	:	PUNCT
fcis-30203	86	21	strategies	strategy	NOUN
fcis-30203	86	22	for	for	ADP
fcis-30203	86	23	improving	improve	VERB
fcis-30203	86	24	communication	communication	NOUN
fcis-30203	86	25	efficiency[j	efficiency[j	NOUN
fcis-30203	86	26	]	]	PUNCT
fcis-30203	86	27	.	.	PUNCT
fcis-30203	87	1	arxiv	arxiv	PROPN
fcis-30203	87	2	preprint	preprint	PROPN
fcis-30203	87	3	arxiv	arxiv	PROPN
fcis-30203	87	4	:	:	PUNCT
fcis-30203	87	5	1610.05492	1610.05492	NUM
fcis-30203	87	6	,	,	PUNCT
fcis-30203	87	7	2016	2016	NUM
fcis-30203	87	8	.	.	PUNCT
fcis-30203	88	1	[	[	X
fcis-30203	88	2	4	4	NUM
fcis-30203	88	3	]	]	SYM
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fcis-30203	88	10	,	,	PUNCT
fcis-30203	88	11	talwalkar	talwalkar	PROPN
fcis-30203	88	12	a	a	PROPN
fcis-30203	88	13	,	,	PUNCT
fcis-30203	88	14	et	et	PROPN
fcis-30203	88	15	al	al	PROPN
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fcis-30203	88	19	:	:	PUNCT
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fcis-30203	88	21	,	,	PUNCT
fcis-30203	88	22	methods	method	NOUN
fcis-30203	88	23	,	,	PUNCT
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fcis-30203	88	25	future	future	ADJ
fcis-30203	88	26	directions[j	directions[j	PROPN
fcis-30203	88	27	]	]	PUNCT
fcis-30203	88	28	.	.	PUNCT
fcis-30203	89	1	ieee	ieee	PROPN
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fcis-30203	89	4	magazine	magazine	NOUN
fcis-30203	89	5	,	,	PUNCT
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fcis-30203	89	7	,	,	PUNCT
fcis-30203	89	8	37(3	37(3	NUM
fcis-30203	89	9	):	):	PUNCT
fcis-30203	89	10	50	50	NUM
fcis-30203	89	11	-	-	SYM
fcis-30203	89	12	56	56	NUM
fcis-30203	89	13	[	[	X
fcis-30203	89	14	5	5	NUM
fcis-30203	89	15	]	]	X
fcis-30203	89	16	zhao	zhao	X
fcis-30203	89	17	,	,	PUNCT
fcis-30203	89	18	y.	y.	PROPN
fcis-30203	89	19	,	,	PUNCT
fcis-30203	89	20	li	li	PROPN
fcis-30203	89	21	,	,	PUNCT
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fcis-30203	89	23	,	,	PUNCT
fcis-30203	89	24	lai	lai	PROPN
fcis-30203	89	25	,	,	PUNCT
fcis-30203	89	26	l.	l.	PROPN
fcis-30203	89	27	,	,	PUNCT
fcis-30203	89	28	et	et	PROPN
fcis-30203	89	29	al	al	PROPN
fcis-30203	89	30	.	.	PROPN
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fcis-30203	89	32	.	.	PUNCT
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fcis-30203	90	8	]	]	X
fcis-30203	90	9	.	.	PUNCT
fcis-30203	91	1	arxiv	arxiv	PROPN
fcis-30203	91	2	preprint	preprint	PROPN
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fcis-30203	91	4	.	.	PUNCT
fcis-30203	92	1	[	[	X
fcis-30203	92	2	6	6	NUM
fcis-30203	92	3	]	]	PUNCT
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fcis-30203	92	7	,	,	PUNCT
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fcis-30203	92	10	,	,	PUNCT
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fcis-30203	92	24	in	in	ADP
fcis-30203	92	25	proceedings	proceeding	NOUN
fcis-30203	92	26	of	of	ADP
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fcis-30203	92	28	20th	20th	ADJ
fcis-30203	92	29	international	international	ADJ
fcis-30203	92	30	conference	conference	NOUN
fcis-30203	92	31	on	on	ADP
fcis-30203	92	32	artificial	artificial	ADJ
fcis-30203	92	33	intelligence	intelligence	NOUN
fcis-30203	92	34	and	and	CCONJ
fcis-30203	92	35	statistics	statistic	NOUN
fcis-30203	92	36	(	(	PUNCT
fcis-30203	92	37	aistats	aistat	NOUN
fcis-30203	92	38	)	)	PUNCT
fcis-30203	92	39	,	,	PUNCT
fcis-30203	92	40	2017	2017	NUM
fcis-30203	92	41	,	,	PUNCT
fcis-30203	92	42	pp	pp	ADJ
fcis-30203	92	43	.	.	PUNCT
fcis-30203	92	44	1273	1273	NUM
fcis-30203	92	45	-	-	SYM
fcis-30203	92	46	1282	1282	NUM
fcis-30203	92	47	.	.	PUNCT
fcis-30203	93	1	[	[	X
fcis-30203	93	2	7	7	X
fcis-30203	93	3	]	]	SYM
fcis-30203	93	4	li	li	PROPN
fcis-30203	93	5	x	x	PROPN
fcis-30203	93	6	,	,	PUNCT
fcis-30203	93	7	huang	huang	PROPN
fcis-30203	93	8	kx	kx	PROPN
fcis-30203	93	9	,	,	PUNCT
fcis-30203	93	10	yang	yang	PROPN
fcis-30203	93	11	ws	ws	PROPN
fcis-30203	93	12	,	,	PUNCT
fcis-30203	93	13	et	et	PROPN
fcis-30203	93	14	al	al	PROPN
fcis-30203	93	15	.	.	PROPN
fcis-30203	94	1	on	on	ADP
fcis-30203	94	2	the	the	DET
fcis-30203	94	3	convergence	convergence	NOUN
fcis-30203	94	4	of	of	ADP
fcis-30203	94	5	fedavg	fedavg	NOUN
fcis-30203	94	6	on	on	ADP
fcis-30203	94	7	non	non	ADJ
fcis-30203	94	8	-	-	ADJ
fcis-30203	94	9	iid	iid	VERB
fcis-30203	94	10	data[c]\\	data[c]\\	NOUN
fcis-30203	94	11	in	in	ADP
fcis-30203	94	12	the	the	DET
fcis-30203	94	13	8th	8th	ADJ
fcis-30203	94	14	international	international	ADJ
fcis-30203	94	15	conference	conference	NOUN
fcis-30203	94	16	on	on	ADP
fcis-30203	94	17	learning	learn	VERB
fcis-30203	94	18	representations	representation	NOUN
fcis-30203	94	19	(	(	PUNCT
fcis-30203	94	20	iclr	iclr	NOUN
fcis-30203	94	21	)	)	PUNCT
fcis-30203	94	22	,	,	PUNCT
fcis-30203	94	23	2020	2020	NUM
fcis-30203	94	24	,	,	PUNCT
fcis-30203	94	25	pp	pp	ADJ
fcis-30203	94	26	.	.	PUNCT
fcis-30203	94	27	126	126	NUM
fcis-30203	94	28	.	.	PUNCT
fcis-30203	95	1	[	[	X
fcis-30203	95	2	8	8	NUM
fcis-30203	95	3	]	]	X
fcis-30203	95	4	karimireddy	karimireddy	PROPN
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fcis-30203	95	6	p	p	PROPN
fcis-30203	95	7	,	,	PUNCT
fcis-30203	95	8	kale	kale	PROPN
fcis-30203	95	9	s	s	PROPN
fcis-30203	95	10	,	,	PUNCT
fcis-30203	95	11	mohri	mohri	PROPN
fcis-30203	95	12	m	m	PROPN
fcis-30203	95	13	,	,	PUNCT
fcis-30203	95	14	et	et	PROPN
fcis-30203	95	15	al	al	PROPN
fcis-30203	95	16	.	.	PROPN
fcis-30203	95	17	scaffold	scaffold	PROPN
fcis-30203	95	18	:	:	PUNCT
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fcis-30203	95	21	averaging	averaging	NOUN
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fcis-30203	95	25	proceedings	proceeding	NOUN
fcis-30203	95	26	of	of	ADP
fcis-30203	95	27	the	the	DET
fcis-30203	95	28	37th	37th	ADJ
fcis-30203	95	29	international	international	ADJ
fcis-30203	95	30	conference	conference	NOUN
fcis-30203	95	31	on	on	ADP
fcis-30203	95	32	machine	machine	NOUN
fcis-30203	95	33	learning	learning	NOUN
fcis-30203	95	34	(	(	PUNCT
fcis-30203	95	35	icml	icml	PROPN
fcis-30203	95	36	)	)	PUNCT
fcis-30203	95	37	,	,	PUNCT
fcis-30203	95	38	2020	2020	NUM
fcis-30203	95	39	,	,	PUNCT
fcis-30203	95	40	pp	pp	ADP
fcis-30203	95	41	.	.	PUNCT
fcis-30203	96	1	5123	5123	NUM
fcis-30203	96	2	-	-	SYM
fcis-30203	96	3	5143	5143	NUM
fcis-30203	96	4	.	.	PUNCT
fcis-30203	97	1	[	[	X
fcis-30203	97	2	9	9	NUM
fcis-30203	97	3	]	]	PUNCT
fcis-30203	97	4	yu	yu	PROPN
fcis-30203	97	5	h	h	PROPN
fcis-30203	97	6	,	,	PUNCT
fcis-30203	97	7	fan	fan	PROPN
fcis-30203	97	8	j	j	PROPN
fcis-30203	97	9	,	,	PUNCT
fcis-30203	97	10	sun	sun	PROPN
fcis-30203	97	11	y	y	PROPN
fcis-30203	97	12	,	,	PUNCT
fcis-30203	97	13	et	et	PROPN
fcis-30203	97	14	al	al	PROPN
fcis-30203	97	15	.	.	PUNCT
fcis-30203	98	1	a	a	DET
fcis-30203	98	2	survey	survey	NOUN
fcis-30203	98	3	on	on	ADP
fcis-30203	98	4	statistical	statistical	ADJ
fcis-30203	98	5	heterogeneity	heterogeneity	NOUN
fcis-30203	98	6	in	in	ADP
fcis-30203	98	7	federated	federated	ADJ
fcis-30203	98	8	learning	learning	NOUN
fcis-30203	98	9	[	[	X
fcis-30203	98	10	j	j	X
fcis-30203	98	11	/	/	SYM
fcis-30203	98	12	ol	ol	PROPN
fcis-30203	98	13	]	]	PUNCT
fcis-30203	98	14	.	.	PUNCT
fcis-30203	99	1	computer	computer	NOUN
fcis-30203	99	2	applications,111[2025	applications,111[2025	PROPN
fcis-30203	99	3	-	-	PUNCT
fcis-30203	99	4	03	03	NUM
fcis-30203	99	5	-	-	PUNCT
fcis-30203	99	6	06].http://kns.cnki	06].http://kns.cnki	PROPN
fcis-30203	99	7	.	.	PUNCT
fcis-30203	100	1	net	net	PROPN
fcis-30203	100	2	/	/	SYM
fcis-30203	100	3	kcms	kcms	PROPN
fcis-30203	100	4	/	/	SYM
fcis-30203	100	5	detail/	detail/	NUM
fcis-30203	100	6	51.1307.tp	51.1307.tp	NUM
fcis-30203	100	7	.	.	PUNCT
fcis-30203	101	1	2024	2024	NUM
fcis-30203	101	2	1226.1339.002.html	1226.1339.002.html	NUM
fcis-30203	101	3	.	.	PUNCT
fcis-30203	102	1	[	[	X
fcis-30203	102	2	10	10	NUM
fcis-30203	102	3	]	]	X
fcis-30203	102	4	li	li	PROPN
fcis-30203	102	5	x	x	PROPN
fcis-30203	102	6	,	,	PUNCT
fcis-30203	102	7	huang	huang	PROPN
fcis-30203	102	8	k	k	PROPN
fcis-30203	102	9	,	,	PUNCT
fcis-30203	102	10	yang	yang	PROPN
fcis-30203	102	11	w	w	PROPN
fcis-30203	102	12	,	,	PUNCT
fcis-30203	102	13	et	et	PROPN
fcis-30203	102	14	al	al	PROPN
fcis-30203	102	15	.	.	PROPN
fcis-30203	103	1	on	on	ADP
fcis-30203	103	2	the	the	DET
fcis-30203	103	3	convergence	convergence	NOUN
fcis-30203	103	4	of	of	ADP
fcis-30203	103	5	fedavg	fedavg	NOUN
fcis-30203	103	6	on	on	ADP
fcis-30203	103	7	non	non	ADJ
fcis-30203	103	8	-	-	ADJ
fcis-30203	103	9	iid	iid	VERB
fcis-30203	103	10	data[c]\\	data[c]\\	NOUN
fcis-30203	103	11	in	in	ADP
fcis-30203	103	12	the	the	DET
fcis-30203	103	13	8th	8th	ADJ
fcis-30203	103	14	international	international	ADJ
fcis-30203	103	15	conference	conference	NOUN
fcis-30203	103	16	on	on	ADP
fcis-30203	103	17	learning	learn	VERB
fcis-30203	103	18	representations	representation	NOUN
fcis-30203	103	19	(	(	PUNCT
fcis-30203	103	20	iclr	iclr	NOUN
fcis-30203	103	21	)	)	PUNCT
fcis-30203	103	22	,	,	PUNCT
fcis-30203	103	23	2020	2020	NUM
fcis-30203	103	24	,	,	PUNCT
fcis-30203	103	25	pp	pp	ADV
fcis-30203	103	26	.	.	PUNCT
fcis-30203	104	1	1	1	NUM
fcis-30203	104	2	-	-	SYM
fcis-30203	104	3	26	26	NUM
fcis-30203	104	4	.	.	PUNCT
fcis-30203	105	1	[	[	X
fcis-30203	105	2	11	11	NUM
fcis-30203	105	3	]	]	X
fcis-30203	105	4	pan	pan	PROPN
fcis-30203	105	5	z	z	PROPN
fcis-30203	105	6	,	,	PUNCT
fcis-30203	105	7	wang	wang	PROPN
fcis-30203	105	8	z	z	PROPN
fcis-30203	105	9	,	,	PUNCT
fcis-30203	105	10	li	li	PROPN
fcis-30203	105	11	c	c	PROPN
fcis-30203	105	12	,	,	PUNCT
fcis-30203	105	13	et	et	PROPN
fcis-30203	105	14	al	al	PROPN
fcis-30203	105	15	.	.	PROPN
fcis-30203	105	16	federated	federated	ADJ
fcis-30203	105	17	unlearning	unlearning	NOUN
fcis-30203	105	18	with	with	ADP
fcis-30203	105	19	gradient	gradient	ADJ
fcis-30203	105	20	descent	descent	NOUN
fcis-30203	105	21	and	and	CCONJ
fcis-30203	105	22	conflict	conflict	NOUN
fcis-30203	105	23	mitigation[c]\\	mitigation[c]\\	NOUN
fcis-30203	105	24	in	in	ADP
fcis-30203	105	25	the	the	DET
fcis-30203	105	26	proceedings	proceeding	NOUN
fcis-30203	105	27	of	of	ADP
fcis-30203	105	28	the	the	DET
fcis-30203	105	29	39th	39th	ADJ
fcis-30203	105	30	aaai	aaai	PROPN
fcis-30203	105	31	conference	conference	NOUN
fcis-30203	105	32	on	on	ADP
fcis-30203	105	33	artificial	artificial	ADJ
fcis-30203	105	34	intelligence	intelligence	NOUN
fcis-30203	105	35	.	.	PUNCT
fcis-30203	106	1	arxiv	arxiv	PROPN
fcis-30203	106	2	preprint	preprint	PROPN
fcis-30203	106	3	arxiv	arxiv	PROPN
fcis-30203	106	4	:	:	PUNCT
fcis-30203	106	5	2412.20200	2412.20200	NUM
fcis-30203	106	6	,	,	PUNCT
fcis-30203	106	7	2024	2024	NUM
fcis-30203	106	8	.	.	PUNCT
fcis-30203	107	1	[	[	X
fcis-30203	107	2	12	12	NUM
fcis-30203	107	3	]	]	X
fcis-30203	107	4	li	li	PROPN
fcis-30203	107	5	y.	y.	PROPN
fcis-30203	107	6	simulation	simulation	PROPN
fcis-30203	107	7	study	study	NOUN
fcis-30203	107	8	of	of	ADP
fcis-30203	107	9	heterogeneity	heterogeneity	NOUN
fcis-30203	107	10	in	in	ADP
fcis-30203	107	11	high	high	ADJ
fcis-30203	107	12	toughness	toughness	NOUN
fcis-30203	107	13	polymer	polymer	NOUN
fcis-30203	107	14	network	network	NOUN
fcis-30203	107	15	structures	structure	NOUN
fcis-30203	108	1	[	[	X
fcis-30203	108	2	d	d	X
fcis-30203	108	3	]	]	X
fcis-30203	108	4	.	.	PUNCT
fcis-30203	109	1	university	university	NOUN
fcis-30203	109	2	of	of	ADP
fcis-30203	109	3	science	science	NOUN
fcis-30203	109	4	and	and	CCONJ
fcis-30203	109	5	technology	technology	NOUN
fcis-30203	109	6	of	of	ADP
fcis-30203	109	7	china,2024	china,2024	PROPN
fcis-30203	109	8	.	.	PROPN
fcis-30203	109	9	doi:10.27517	doi:10.27517	PROPN
fcis-30203	109	10	/	/	SYM
fcis-30203	109	11	d.	d.	PROPN
fcis-30203	109	12	cnki	cnki	PROPN
fcis-30203	109	13	.	.	PUNCT
fcis-30203	110	1	gzkju	gzkju	PROPN
fcis-30203	110	2	.	.	PUNCT
fcis-30203	111	1	2024	2024	NUM
fcis-30203	111	2	.	.	PUNCT
fcis-30203	112	1	000093	000093	NUM
fcis-30203	112	2	.	.	PUNCT
fcis-30203	113	1	[	[	X
fcis-30203	113	2	13	13	NUM
fcis-30203	113	3	]	]	X
fcis-30203	113	4	smith	smith	PROPN
fcis-30203	113	5	v	v	PROPN
fcis-30203	113	6	,	,	PUNCT
fcis-30203	113	7	chiang	chiang	PROPN
fcis-30203	113	8	c	c	PROPN
fcis-30203	113	9	k	k	PROPN
fcis-30203	113	10	,	,	PUNCT
fcis-30203	113	11	sanjabi	sanjabi	NOUN
fcis-30203	113	12	m	m	PROPN
fcis-30203	113	13	,	,	PUNCT
fcis-30203	113	14	et	et	PROPN
fcis-30203	113	15	al	al	PROPN
fcis-30203	113	16	.	.	PROPN
fcis-30203	113	17	federated	federate	VERB
fcis-30203	113	18	multi	multi	ADJ
fcis-30203	113	19	-	-	ADJ
fcis-30203	113	20	task	task	ADJ
fcis-30203	113	21	learning[c]\\	learning[c]\\	PROPN
fcis-30203	113	22	in	in	ADP
fcis-30203	113	23	the	the	DET
fcis-30203	113	24	30th	30th	ADJ
fcis-30203	113	25	conference	conference	NOUN
fcis-30203	113	26	on	on	ADP
fcis-30203	113	27	neural	neural	ADJ
fcis-30203	113	28	information	information	NOUN
fcis-30203	113	29	processing	processing	NOUN
fcis-30203	113	30	systems	system	NOUN
fcis-30203	113	31	(	(	PUNCT
fcis-30203	113	32	neurips	neurip	NOUN
fcis-30203	113	33	)	)	PUNCT
fcis-30203	113	34	,	,	PUNCT
fcis-30203	113	35	2017	2017	NUM
fcis-30203	113	36	,	,	PUNCT
fcis-30203	113	37	pp	pp	ADJ
fcis-30203	113	38	.	.	PUNCT
fcis-30203	113	39	4424	4424	NUM
fcis-30203	113	40	-	-	SYM
fcis-30203	113	41	4434	4434	NUM
fcis-30203	113	42	.	.	PUNCT
fcis-30203	114	1	[	[	X
fcis-30203	114	2	14	14	NUM
fcis-30203	114	3	]	]	X
fcis-30203	114	4	li	li	PROPN
fcis-30203	114	5	d	d	PROPN
fcis-30203	114	6	,	,	PUNCT
fcis-30203	114	7	wang	wang	PROPN
fcis-30203	114	8	j.	j.	PROPN
fcis-30203	114	9	fedmd	fedmd	PROPN
fcis-30203	114	10	:	:	PUNCT
fcis-30203	114	11	heterogenous	heterogenous	ADJ
fcis-30203	114	12	federated	federated	ADJ
fcis-30203	114	13	learning	learning	NOUN
fcis-30203	114	14	via	via	ADP
fcis-30203	114	15	model	model	NOUN
fcis-30203	114	16	distillation[j	distillation[j	PROPN
fcis-30203	114	17	]	]	PUNCT
fcis-30203	114	18	.	.	PUNCT
fcis-30203	115	1	arxiv	arxiv	PROPN
fcis-30203	115	2	preprint	preprint	PROPN
fcis-30203	115	3	arxiv	arxiv	PROPN
fcis-30203	115	4	:	:	PUNCT
fcis-30203	115	5	1910.03581	1910.03581	NUM
fcis-30203	115	6	,	,	PUNCT
fcis-30203	115	7	2019	2019	NUM
fcis-30203	115	8	.	.	PUNCT
fcis-30203	116	1	[	[	X
fcis-30203	116	2	15	15	NUM
fcis-30203	116	3	]	]	X
fcis-30203	116	4	chen	chen	PROPN
fcis-30203	116	5	f	f	PROPN
fcis-30203	116	6	,	,	PUNCT
fcis-30203	116	7	luo	luo	PROPN
fcis-30203	116	8	m	m	PROPN
fcis-30203	116	9	,	,	PUNCT
fcis-30203	116	10	dong	dong	PROPN
fcis-30203	116	11	z	z	PROPN
fcis-30203	116	12	,	,	PUNCT
fcis-30203	116	13	et	et	PROPN
fcis-30203	116	14	al	al	PROPN
fcis-30203	116	15	.	.	PROPN
fcis-30203	116	16	federated	federate	VERB
fcis-30203	116	17	meta	meta	ADV
fcis-30203	116	18	-	-	PUNCT
fcis-30203	116	19	learning	learning	NOUN
fcis-30203	116	20	with	with	ADP
fcis-30203	116	21	fast	fast	ADJ
fcis-30203	116	22	convergence	convergence	NOUN
fcis-30203	116	23	and	and	CCONJ
fcis-30203	116	24	efficient	efficient	ADJ
fcis-30203	116	25	communication[j	communication[j	NOUN
fcis-30203	116	26	]	]	PUNCT
fcis-30203	116	27	.	.	PUNCT
fcis-30203	117	1	arxiv	arxiv	PROPN
fcis-30203	117	2	preprint	preprint	PROPN
fcis-30203	117	3	arxiv:1802.07876	arxiv:1802.07876	PROPN
fcis-30203	117	4	,	,	PUNCT
fcis-30203	117	5	2018	2018	NUM
fcis-30203	117	6	.	.	PUNCT
fcis-30203	118	1	[	[	X
fcis-30203	118	2	16	16	NUM
fcis-30203	118	3	]	]	X
fcis-30203	118	4	li	li	PROPN
fcis-30203	118	5	t	t	PROPN
fcis-30203	118	6	,	,	PUNCT
fcis-30203	118	7	sahu	sahu	PROPN
fcis-30203	118	8	a	a	PROPN
fcis-30203	118	9	k	k	PROPN
fcis-30203	118	10	,	,	PUNCT
fcis-30203	118	11	zaheer	zaheer	PROPN
fcis-30203	118	12	m	m	PROPN
fcis-30203	118	13	,	,	PUNCT
fcis-30203	118	14	et	et	PROPN
fcis-30203	118	15	al	al	PROPN
fcis-30203	118	16	.	.	PROPN
fcis-30203	118	17	federated	federate	VERB
fcis-30203	118	18	optimization	optimization	NOUN
fcis-30203	118	19	in	in	ADP
fcis-30203	118	20	heterogeneous	heterogeneous	ADJ
fcis-30203	118	21	networks[c]\\	networks[c]\\	NOUN
fcis-30203	118	22	in	in	ADP
fcis-30203	118	23	proceedings	proceeding	NOUN
fcis-30203	118	24	of	of	ADP
fcis-30203	118	25	machine	machine	NOUN
fcis-30203	118	26	learning	learning	NOUN
fcis-30203	118	27	and	and	CCONJ
fcis-30203	118	28	systems	system	NOUN
fcis-30203	118	29	(	(	PUNCT
fcis-30203	118	30	mlsys	mlsys	PROPN
fcis-30203	118	31	)	)	PUNCT
fcis-30203	118	32	,	,	PUNCT
fcis-30203	118	33	2020	2020	NUM
fcis-30203	118	34	.	.	PUNCT
fcis-30203	119	1	[	[	X
fcis-30203	119	2	17	17	NUM
fcis-30203	119	3	]	]	X
fcis-30203	119	4	wang	wang	PROPN
fcis-30203	119	5	j	j	PROPN
fcis-30203	119	6	,	,	PUNCT
fcis-30203	119	7	liu	liu	PROPN
fcis-30203	119	8	q	q	PROPN
fcis-30203	119	9	,	,	PUNCT
fcis-30203	119	10	liang	liang	PROPN
fcis-30203	119	11	h	h	PROPN
fcis-30203	119	12	,	,	PUNCT
fcis-30203	119	13	et	et	PROPN
fcis-30203	119	14	al	al	PROPN
fcis-30203	119	15	.	.	PUNCT
fcis-30203	120	1	a	a	DET
fcis-30203	120	2	novel	novel	ADJ
fcis-30203	120	3	framework	framework	NOUN
fcis-30203	120	4	for	for	ADP
fcis-30203	120	5	the	the	DET
fcis-30203	120	6	analysis	analysis	NOUN
fcis-30203	120	7	and	and	CCONJ
fcis-30203	120	8	design	design	NOUN
fcis-30203	120	9	of	of	ADP
fcis-30203	120	10	heterogeneous	heterogeneous	ADJ
fcis-30203	120	11	federated	federated	ADJ
fcis-30203	120	12	learning[j	learning[j	NOUN
fcis-30203	120	13	]	]	PUNCT
fcis-30203	120	14	.	.	PUNCT
fcis-30203	121	1	ieee	ieee	NOUN
fcis-30203	121	2	transactions	transaction	NOUN
fcis-30203	121	3	on	on	ADP
fcis-30203	121	4	signal	signal	ADJ
fcis-30203	121	5	processing	processing	NOUN
fcis-30203	121	6	,	,	PUNCT
fcis-30203	121	7	2021	2021	NUM
fcis-30203	121	8	,	,	PUNCT
fcis-30203	121	9	69	69	NUM
fcis-30203	121	10	:	:	SYM
fcis-30203	121	11	5234	5234	NUM
fcis-30203	121	12	-	-	SYM
fcis-30203	121	13	5249	5249	NUM
fcis-30203	121	14	.	.	PUNCT
fcis-30203	122	1	[	[	X
fcis-30203	122	2	18	18	NUM
fcis-30203	122	3	]	]	X
fcis-30203	122	4	zhu	zhu	PROPN
fcis-30203	122	5	z	z	PROPN
fcis-30203	122	6	,	,	PUNCT
fcis-30203	122	7	hong	hong	PROPN
fcis-30203	122	8	j	j	PROPN
fcis-30203	122	9	,	,	PUNCT
fcis-30203	122	10	zhou	zhou	PROPN
fcis-30203	122	11	j.	j.	PROPN
fcis-30203	122	12	data	data	PROPN
fcis-30203	122	13	-	-	PUNCT
fcis-30203	122	14	free	free	ADJ
fcis-30203	122	15	knowledge	knowledge	NOUN
fcis-30203	122	16	distillation	distillation	NOUN
fcis-30203	122	17	for	for	ADP
fcis-30203	122	18	heterogeneous	heterogeneous	ADJ
fcis-30203	122	19	federated	federate	VERB
fcis-30203	122	20	learning[c]\\	learning[c]\\	ADJ
fcis-30203	122	21	international	international	ADJ
fcis-30203	122	22	conference	conference	NOUN
fcis-30203	122	23	on	on	ADP
fcis-30203	122	24	machine	machine	NOUN
fcis-30203	122	25	learning	learning	NOUN
fcis-30203	122	26	,	,	PUNCT
fcis-30203	122	27	2021	2021	NUM
fcis-30203	122	28	,	,	PUNCT
fcis-30203	122	29	pp	pp	ADV
fcis-30203	122	30	.	.	PUNCT
fcis-30203	122	31	12878	12878	NUM
fcis-30203	122	32	-	-	SYM
fcis-30203	122	33	12889	12889	NUM
fcis-30203	122	34	.	.	PUNCT
fcis-30203	123	1	[	[	X
fcis-30203	123	2	19	19	NUM
fcis-30203	123	3	]	]	X
fcis-30203	123	4	wiedemann	wiedemann	PROPN
fcis-30203	123	5	s	s	PROPN
fcis-30203	123	6	,	,	PUNCT
fcis-30203	123	7	muller	muller	NOUN
fcis-30203	123	8	k	k	PROPN
fcis-30203	123	9	r	r	PROPN
fcis-30203	123	10	,	,	PUNCT
fcis-30203	123	11	samek	samek	NOUN
fcis-30203	123	12	w.	w.	PROPN
fcis-30203	123	13	compact	compact	PROPN
fcis-30203	123	14	and	and	CCONJ
fcis-30203	123	15	computationally	computationally	ADV
fcis-30203	123	16	efficient	efficient	ADJ
fcis-30203	123	17	representation	representation	NOUN
fcis-30203	123	18	of	of	ADP
fcis-30203	123	19	deep	deep	ADJ
fcis-30203	123	20	neural	neural	ADJ
fcis-30203	123	21	networks	network	NOUN
fcis-30203	124	1	[	[	X
fcis-30203	124	2	j	j	X
fcis-30203	124	3	]	]	X
fcis-30203	124	4	.	.	PUNCT
fcis-30203	125	1	ieee	ieee	NOUN
fcis-30203	125	2	transactions	transaction	NOUN
fcis-30203	125	3	on	on	ADP
fcis-30203	125	4	neural	neural	ADJ
fcis-30203	125	5	networks	network	NOUN
fcis-30203	125	6	and	and	CCONJ
fcis-30203	125	7	learning	learning	NOUN
fcis-30203	125	8	systems	system	NOUN
fcis-30203	125	9	,	,	PUNCT
fcis-30203	125	10	2018	2018	NUM
fcis-30203	125	11	,	,	PUNCT
fcis-30203	125	12	31(3	31(3	NUM
fcis-30203	125	13	):	):	PUNCT
fcis-30203	125	14	772	772	NUM
fcis-30203	125	15	-	-	SYM
fcis-30203	125	16	785	785	NUM
fcis-30203	125	17	.	.	PUNCT
fcis-30203	126	1	[	[	X
fcis-30203	126	2	20	20	NUM
fcis-30203	126	3	]	]	X
fcis-30203	126	4	zhao	zhao	PROPN
fcis-30203	126	5	y	y	PROPN
fcis-30203	126	6	,	,	PUNCT
fcis-30203	126	7	chen	chen	PROPN
fcis-30203	126	8	jj	jj	PROPN
fcis-30203	126	9	,	,	PUNCT
fcis-30203	126	10	guo	guo	PROPN
fcis-30203	126	11	ql	ql	PROPN
fcis-30203	126	12	,	,	PUNCT
fcis-30203	126	13	et	et	PROPN
fcis-30203	126	14	al	al	PROPN
fcis-30203	126	15	.	.	PROPN
fcis-30203	126	16	network	network	PROPN
fcis-30203	126	17	anomaly	anomaly	NOUN
fcis-30203	126	18	detection	detection	NOUN
fcis-30203	126	19	using	use	VERB
fcis-30203	126	20	federated	federated	ADJ
fcis-30203	126	21	learning	learning	NOUN
fcis-30203	126	22	and	and	CCONJ
fcis-30203	126	23	transfer	transfer	VERB
fcis-30203	126	24	learning[c]\\	learning[c]\\	PROPN
fcis-30203	126	25	in	in	ADP
fcis-30203	126	26	the	the	DET
fcis-30203	126	27	first	first	ADJ
fcis-30203	126	28	international	international	ADJ
fcis-30203	126	29	conference	conference	NOUN
fcis-30203	126	30	on	on	ADP
fcis-30203	126	31	security	security	NOUN
fcis-30203	126	32	and	and	CCONJ
fcis-30203	126	33	privacy	privacy	NOUN
fcis-30203	126	34	in	in	ADP
fcis-30203	126	35	digital	digital	ADJ
fcis-30203	126	36	economy	economy	NOUN
fcis-30203	126	37	(	(	PUNCT
fcis-30203	126	38	spde	spde	NOUN
fcis-30203	126	39	)	)	PUNCT
fcis-30203	126	40	,	,	PUNCT
fcis-30203	126	41	2020	2020	NUM
fcis-30203	126	42	,	,	PUNCT
fcis-30203	126	43	pp	pp	ADV
fcis-30203	126	44	.	.	PUNCT
fcis-30203	127	1	219	219	NUM
fcis-30203	127	2	-	-	SYM
fcis-30203	127	3	231	231	NUM
fcis-30203	127	4	.	.	PUNCT
fcis-30203	128	1	[	[	X
fcis-30203	128	2	21	21	NUM
fcis-30203	128	3	]	]	PUNCT
fcis-30203	128	4	reddi	reddi	PROPN
fcis-30203	128	5	s	s	PROPN
fcis-30203	128	6	,	,	PUNCT
fcis-30203	128	7	charles	charles	PROPN
fcis-30203	128	8	z	z	PROPN
fcis-30203	128	9	,	,	PUNCT
fcis-30203	128	10	zaheer	zaheer	PROPN
fcis-30203	128	11	m	m	PROPN
fcis-30203	128	12	,	,	PUNCT
fcis-30203	128	13	et	et	PROPN
fcis-30203	128	14	al	al	PROPN
fcis-30203	128	15	.	.	PROPN
fcis-30203	128	16	adaptive	adaptive	PROPN
fcis-30203	128	17	federated	federated	ADJ
fcis-30203	128	18	optimization[j	optimization[j	NOUN
fcis-30203	128	19	]	]	PUNCT
fcis-30203	128	20	.	.	PUNCT
fcis-30203	129	1	arxiv	arxiv	PROPN
fcis-30203	129	2	preprint	preprint	PROPN
fcis-30203	129	3	arxiv	arxiv	PROPN
fcis-30203	129	4	:	:	PUNCT
fcis-30203	129	5	2003.00295	2003.00295	NUM
fcis-30203	129	6	,	,	PUNCT
fcis-30203	129	7	2020	2020	NUM
fcis-30203	129	8	.	.	PUNCT
fcis-30203	130	1	[	[	X
fcis-30203	130	2	22	22	NUM
fcis-30203	130	3	]	]	PUNCT
fcis-30203	130	4	fallah	fallah	PROPN
fcis-30203	130	5	,	,	PUNCT
fcis-30203	130	6	a.	a.	NOUN
fcis-30203	130	7	,	,	PUNCT
fcis-30203	130	8	mokhtari	mokhtari	PROPN
fcis-30203	130	9	,	,	PUNCT
fcis-30203	130	10	a.	a.	NOUN
fcis-30203	130	11	,	,	PUNCT
fcis-30203	130	12	ozdaglar	ozdaglar	ADJ
fcis-30203	130	13	,	,	PUNCT
fcis-30203	130	14	a.	a.	NOUN
fcis-30203	130	15	personalized	personalize	VERB
fcis-30203	130	16	federated	federated	ADJ
fcis-30203	130	17	learning	learning	NOUN
fcis-30203	130	18	with	with	ADP
fcis-30203	130	19	theoretical	theoretical	ADJ
fcis-30203	130	20	guarantees	guarantee	NOUN
fcis-30203	130	21	:	:	PUNCT
fcis-30203	130	22	a	a	DET
fcis-30203	130	23	model	model	NOUN
fcis-30203	130	24	-	-	ADJ
fcis-30203	130	25	agnostic	agnostic	ADJ
fcis-30203	130	26	meta	meta	ADJ
fcis-30203	130	27	-	-	PUNCT
fcis-30203	130	28	learning	learn	VERB
fcis-30203	130	29	approach	approach	NOUN
fcis-30203	130	30	[	[	X
fcis-30203	130	31	c]\\in	c]\\in	NOUN
fcis-30203	130	32	advances	advance	NOUN
fcis-30203	130	33	in	in	ADP
fcis-30203	130	34	neural	neural	ADJ
fcis-30203	130	35	information	information	NOUN
fcis-30203	130	36	processing	processing	NOUN
fcis-30203	130	37	systems	system	NOUN
fcis-30203	130	38	33	33	NUM
fcis-30203	130	39	(	(	PUNCT
fcis-30203	130	40	neurips	neurip	NOUN
fcis-30203	130	41	)	)	PUNCT
fcis-30203	130	42	,	,	PUNCT
fcis-30203	130	43	3557–3568	3557–3568	NUM
fcis-30203	130	44	.	.	PUNCT
fcis-30203	131	1	[	[	X
fcis-30203	131	2	23	23	NUM
fcis-30203	131	3	]	]	SYM
fcis-30203	131	4	li	li	PROPN
fcis-30203	131	5	,	,	PUNCT
fcis-30203	131	6	q.	q.	PROPN
fcis-30203	131	7	,	,	PUNCT
fcis-30203	131	8	he	he	PRON
fcis-30203	131	9	,	,	PUNCT
fcis-30203	131	10	b.	b.	PROPN
fcis-30203	131	11	,	,	PUNCT
fcis-30203	131	12	song	song	PROPN
fcis-30203	131	13	,	,	PUNCT
fcis-30203	131	14	d.	d.	PROPN
fcis-30203	131	15	model	model	PROPN
fcis-30203	131	16	-	-	PUNCT
fcis-30203	131	17	contrastive	contrastive	ADJ
fcis-30203	131	18	federated	federated	ADJ
fcis-30203	131	19	learning	learning	NOUN
fcis-30203	131	20	[	[	X
fcis-30203	131	21	c]\\in	c]\\in	NOUN
fcis-30203	131	22	proceedings	proceeding	NOUN
fcis-30203	131	23	of	of	ADP
fcis-30203	131	24	the	the	DET
fcis-30203	131	25	ieee	ieee	NOUN
fcis-30203	131	26	/	/	SYM
fcis-30203	131	27	cvf	cvf	NOUN
fcis-30203	131	28	conference	conference	NOUN
fcis-30203	131	29	on	on	ADP
fcis-30203	131	30	computer	computer	NOUN
fcis-30203	131	31	130	130	NUM
fcis-30203	131	32	vision	vision	NOUN
fcis-30203	131	33	and	and	CCONJ
fcis-30203	131	34	pattern	pattern	NOUN
fcis-30203	131	35	recognition	recognition	NOUN
fcis-30203	131	36	(	(	PUNCT
fcis-30203	131	37	cvpr	cvpr	NOUN
fcis-30203	131	38	)	)	PUNCT
fcis-30203	131	39	,	,	PUNCT
fcis-30203	131	40	2021	2021	NUM
fcis-30203	131	41	,	,	PUNCT
fcis-30203	131	42	10713–10722	10713–10722	NUM
fcis-30203	131	43	.	.	PUNCT
fcis-30203	132	1	doi:10.1109	doi:10.1109	VERB
fcis-30203	132	2	/	/	SYM
fcis-30203	132	3	cvpr46437.2021.01057	cvpr46437.2021.01057	PROPN
fcis-30203	133	1	[	[	X
fcis-30203	133	2	24	24	NUM
fcis-30203	133	3	]	]	X
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fcis-30203	133	5	,	,	PUNCT
fcis-30203	133	6	p.	p.	PROPN
fcis-30203	133	7	,	,	PUNCT
fcis-30203	133	8	sharma	sharma	PROPN
fcis-30203	133	9	,	,	PUNCT
fcis-30203	133	10	p.	p.	PROPN
fcis-30203	133	11	,	,	PUNCT
fcis-30203	133	12	kafle	kafle	PROPN
fcis-30203	133	13	,	,	PUNCT
fcis-30203	133	14	s.	s.	PROPN
fcis-30203	133	15	distributed	distribute	VERB
fcis-30203	133	16	stochastic	stochastic	ADJ
fcis-30203	133	17	nonconvex	nonconvex	NOUN
fcis-30203	133	18	optimization	optimization	NOUN
fcis-30203	133	19	:	:	PUNCT
fcis-30203	133	20	momentum	momentum	NOUN
fcis-30203	133	21	-	-	PUNCT
fcis-30203	133	22	based	base	VERB
fcis-30203	133	23	variance	variance	NOUN
fcis-30203	133	24	reduction	reduction	NOUN
fcis-30203	134	1	[	[	X
fcis-30203	134	2	j	j	X
fcis-30203	134	3	]	]	X
fcis-30203	134	4	.	.	PUNCT
fcis-30203	135	1	arxiv	arxiv	PROPN
fcis-30203	135	2	preprint	preprint	PROPN
fcis-30203	135	3	arxiv	arxiv	PROPN
fcis-30203	135	4	:	:	PUNCT
fcis-30203	135	5	2005.00224	2005.00224	NUM
fcis-30203	135	6	,	,	PUNCT
fcis-30203	135	7	2020	2020	NUM
fcis-30203	135	8	.	.	PUNCT
fcis-30203	136	1	[	[	X
fcis-30203	136	2	25	25	NUM
fcis-30203	136	3	]	]	X
fcis-30203	136	4	wang	wang	PROPN
fcis-30203	136	5	,	,	PUNCT
fcis-30203	136	6	j.	j.	PROPN
fcis-30203	136	7	,	,	PUNCT
fcis-30203	136	8	liu	liu	PROPN
fcis-30203	136	9	,	,	PUNCT
fcis-30203	136	10	q.	q.	PROPN
fcis-30203	136	11	,	,	PUNCT
fcis-30203	136	12	liang	liang	PROPN
fcis-30203	136	13	,	,	PUNCT
fcis-30203	136	14	h.	h.	PROPN
fcis-30203	136	15	,	,	PUNCT
fcis-30203	136	16	et	et	PROPN
fcis-30203	136	17	al	al	PROPN
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fcis-30203	136	19	tackling	tackle	VERB
fcis-30203	136	20	the	the	DET
fcis-30203	136	21	objective	objective	ADJ
fcis-30203	136	22	inconsistency	inconsistency	NOUN
fcis-30203	136	23	problem	problem	NOUN
fcis-30203	136	24	in	in	ADP
fcis-30203	136	25	heterogeneous	heterogeneous	ADJ
fcis-30203	136	26	federated	federated	ADJ
fcis-30203	136	27	optimization[c]\\in	optimization[c]\\in	ADJ
fcis-30203	136	28	advances	advance	NOUN
fcis-30203	136	29	in	in	ADP
fcis-30203	136	30	neural	neural	ADJ
fcis-30203	136	31	information	information	NOUN
fcis-30203	136	32	processing	processing	NOUN
fcis-30203	136	33	systems	system	NOUN
fcis-30203	136	34	33	33	NUM
fcis-30203	136	35	(	(	PUNCT
fcis-30203	136	36	neurips	neurip	NOUN
fcis-30203	136	37	)	)	PUNCT
fcis-30203	136	38	,	,	PUNCT
fcis-30203	136	39	2020	2020	NUM
fcis-30203	136	40	,	,	PUNCT
fcis-30203	136	41	7611–7623	7611–7623	NUM
fcis-30203	136	42	.	.	PUNCT
fcis-30203	137	1	[	[	X
fcis-30203	137	2	26	26	NUM
fcis-30203	137	3	]	]	PUNCT
fcis-30203	137	4	acar	acar	NOUN
fcis-30203	137	5	,	,	PUNCT
fcis-30203	137	6	d.a	d.a	PROPN
fcis-30203	137	7	.	.	PROPN
fcis-30203	137	8	,	,	PUNCT
fcis-30203	137	9	zhao	zhao	PROPN
fcis-30203	137	10	,	,	PUNCT
fcis-30203	137	11	y.	y.	PROPN
fcis-30203	137	12	,	,	PUNCT
fcis-30203	137	13	matas	matas	PROPN
fcis-30203	137	14	,	,	PUNCT
fcis-30203	137	15	r.	r.	PROPN
fcis-30203	137	16	,	,	PUNCT
fcis-30203	137	17	et	et	PROPN
fcis-30203	137	18	al	al	PROPN
fcis-30203	137	19	.	.	PROPN
fcis-30203	137	20	federated	federated	ADJ
fcis-30203	137	21	learning	learning	NOUN
fcis-30203	137	22	based	base	VERB
fcis-30203	137	23	on	on	ADP
fcis-30203	137	24	dynamic	dynamic	ADJ
fcis-30203	137	25	regularization[c]\\in	regularization[c]\\in	NOUN
fcis-30203	137	26	proceedings	proceeding	NOUN
fcis-30203	137	27	of	of	ADP
fcis-30203	137	28	the	the	DET
fcis-30203	137	29	9th	9th	ADJ
fcis-30203	137	30	international	international	ADJ
fcis-30203	137	31	conference	conference	NOUN
fcis-30203	137	32	on	on	ADP
fcis-30203	137	33	learning	learn	VERB
fcis-30203	137	34	representations	representation	NOUN
fcis-30203	137	35	(	(	PUNCT
fcis-30203	137	36	iclr	iclr	NOUN
fcis-30203	137	37	)	)	PUNCT
fcis-30203	137	38	,	,	PUNCT
fcis-30203	137	39	2021	2021	NUM
fcis-30203	137	40	.	.	PUNCT
fcis-30203	138	1	[	[	X
fcis-30203	138	2	27	27	NUM
fcis-30203	138	3	]	]	X
fcis-30203	138	4	lin	lin	PROPN
fcis-30203	138	5	,	,	PUNCT
fcis-30203	138	6	t.	t.	PROPN
fcis-30203	138	7	,	,	PUNCT
fcis-30203	138	8	kong	kong	PROPN
fcis-30203	138	9	,	,	PUNCT
fcis-30203	138	10	l.	l.	PROPN
fcis-30203	138	11	,	,	PUNCT
fcis-30203	138	12	stich	stich	PROPN
fcis-30203	138	13	,	,	PUNCT
fcis-30203	138	14	s.u	s.u	PROPN
fcis-30203	138	15	.	.	PROPN
fcis-30203	138	16	,	,	PUNCT
fcis-30203	138	17	et	et	PROPN
fcis-30203	138	18	al	al	PROPN
fcis-30203	138	19	.	.	PROPN
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fcis-30203	139	2	distillation	distillation	NOUN
fcis-30203	139	3	for	for	ADP
fcis-30203	139	4	robust	robust	ADJ
fcis-30203	139	5	model	model	NOUN
fcis-30203	139	6	fusion	fusion	NOUN
fcis-30203	139	7	in	in	ADP
fcis-30203	139	8	federated	federated	ADJ
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fcis-30203	139	10	advances	advance	NOUN
fcis-30203	139	11	in	in	ADP
fcis-30203	139	12	neural	neural	ADJ
fcis-30203	139	13	information	information	NOUN
fcis-30203	139	14	processing	processing	NOUN
fcis-30203	139	15	systems	system	NOUN
fcis-30203	139	16	35	35	NUM
fcis-30203	139	17	(	(	PUNCT
fcis-30203	139	18	neurips	neurip	NOUN
fcis-30203	139	19	)	)	PUNCT
fcis-30203	139	20	,	,	PUNCT
fcis-30203	139	21	2022	2022	NUM
fcis-30203	139	22	,	,	PUNCT
fcis-30203	139	23	3151–3163	3151–3163	NUM
fcis-30203	139	24	.	.	PUNCT
fcis-30203	140	1	[	[	X
fcis-30203	140	2	28	28	NUM
fcis-30203	140	3	]	]	SYM
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fcis-30203	140	5	,	,	PUNCT
fcis-30203	140	6	a.	a.	NOUN
fcis-30203	140	7	,	,	PUNCT
fcis-30203	140	8	loizou	loizou	PROPN
fcis-30203	140	9	,	,	PUNCT
fcis-30203	140	10	n.	n.	NOUN
fcis-30203	140	11	,	,	PUNCT
fcis-30203	140	12	boreiri	boreiri	PROPN
fcis-30203	140	13	,	,	PUNCT
fcis-30203	140	14	s.	s.	PROPN
fcis-30203	140	15	,	,	PUNCT
fcis-30203	140	16	et	et	PROPN
fcis-30203	140	17	al	al	PROPN
fcis-30203	140	18	.	.	PUNCT
fcis-30203	141	1	a	a	DET
fcis-30203	141	2	unified	unified	ADJ
fcis-30203	141	3	theory	theory	NOUN
fcis-30203	141	4	of	of	ADP
fcis-30203	141	5	decentralized	decentralized	ADJ
fcis-30203	141	6	sgd	sgd	NOUN
fcis-30203	141	7	with	with	ADP
fcis-30203	141	8	changing	change	VERB
fcis-30203	141	9	topology	topology	NOUN
fcis-30203	141	10	and	and	CCONJ
fcis-30203	141	11	local	local	ADJ
fcis-30203	141	12	updates	update	NOUN
fcis-30203	141	13	[	[	X
fcis-30203	141	14	j	j	X
fcis-30203	141	15	]	]	X
fcis-30203	141	16	.	.	PUNCT
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fcis-30203	142	2	of	of	ADP
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fcis-30203	142	5	research	research	NOUN
fcis-30203	142	6	(	(	PUNCT
fcis-30203	142	7	jmlr	jmlr	NOUN
fcis-30203	142	8	)	)	PUNCT
fcis-30203	142	9	,	,	PUNCT
fcis-30203	142	10	2022	2022	NUM
fcis-30203	142	11	,	,	PUNCT
fcis-30203	142	12	23(1):1–50	23(1):1–50	NUM
fcis-30203	142	13	.	.	PUNCT
fcis-30203	143	1	[	[	X
fcis-30203	143	2	29	29	NUM
fcis-30203	143	3	]	]	X
fcis-30203	143	4	fu	fu	PROPN
fcis-30203	143	5	,	,	PUNCT
fcis-30203	143	6	j.	j.	PROPN
fcis-30203	143	7	,	,	PUNCT
fcis-30203	143	8	chen	chen	PROPN
fcis-30203	143	9	z	z	PROPN
fcis-30203	143	10	,	,	PUNCT
fcis-30203	143	11	han	han	PROPN
fcis-30203	143	12	x.	x.	PROPN
fcis-30203	143	13	2022	2022	NUM
fcis-30203	143	14	.	.	PUNCT
fcis-30203	144	1	adap	adap	PROPN
fcis-30203	145	1	dp	dp	PROPN
fcis-30203	145	2	-	-	PROPN
fcis-30203	145	3	fl	fl	NOUN
fcis-30203	145	4	:	:	PUNCT
fcis-30203	145	5	differentially	differentially	ADV
fcis-30203	145	6	private	private	ADJ
fcis-30203	145	7	federated	federated	ADJ
fcis-30203	145	8	learning	learning	NOUN
fcis-30203	145	9	with	with	ADP
fcis-30203	145	10	adaptive	adaptive	ADJ
fcis-30203	145	11	noise[c	noise[c	NOUN
fcis-30203	145	12	]	]	PUNCT
fcis-30203	145	13	.	.	PUNCT
fcis-30203	146	1	ieee	ieee	PROPN
fcis-30203	146	2	international	international	PROPN
fcis-30203	146	3	conference	conference	PROPN
fcis-30203	146	4	on	on	ADP
fcis-30203	146	5	trust	trust	NOUN
fcis-30203	146	6	,	,	PUNCT
fcis-30203	146	7	2022	2022	NUM
fcis-30203	146	8	,	,	PUNCT
fcis-30203	146	9	656	656	NUM
fcis-30203	146	10	-	-	SYM
fcis-30203	146	11	-663	-663	PROPN
fcis-30203	146	12	.	.	PUNCT