3 papers
cs.LG2026
Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching
Xu Zhang, Xingyu Hou, Jiacheng Cheng +2
Personalized federated learning (PFL) is a promising paradigm for collaborative learning over distributed devices, where edge nodes collaboratively train personalized models withou…
cs.CV2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang +3
Structured pruning techniques have achieved great compression performance on convolutional neural networks for image classification task. However, the majority of existing methods…
cs.CV2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Yiheng Lu, Maoguo Gong, Wei Zhao +2
Pruning techniques are used comprehensively to compress convolutional neural networks (CNNs) on image classification. However, the majority of pruning methods require a well pre-tr…