id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-31992	Liu, Jinrui	A Review of Model Lightweighting Techniques Based on Edge Computing	2025	6	.pdf	application/pdf	3177	136	41	Based on the research paper, this paper classifies the compression methods of deep learning models into three categories according to the compression idea: compression parameters and compression structure and hybrid methods. 2.1. Classification of Model Lightweighting Methods Here, model lightweighting methods mainly include hardware adaptation optimization and compression and acceleration methods for the model itself, and this paper classifies the compression and acceleration methods for the model itself.	cache/ajst-31992.pdf	txt/ajst-31992.txt