id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1463	Sheela Hundekari	Turbocharged AI: Harnessing Federated Learning and Model Parallelism for Efficient Deep Learning on Distributed System	2024	14	.pdf	application/pdf	4287	266	32	The advent of federated learning and model parallelism has introduced groundbreaking methodologies for training deep learning models on distributed systems. Concurrently, model parallelism, which involves splitting a large model across multiple devices for parallel computation, has become critical in managing the growing complexity and scale of deep learning models (Chen et al., 2022; Rengasamy et al., 2022).	cache/cana-1463.pdf	txt/cana-1463.txt