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FedGCS: A Generative Framework for Efficient Client Selection in
  Federated Learning via Gradient-based Optimization

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization

10 May 2024
Zhiyuan Ning
Chunlin Tian
Meng Xiao
Wei Fan
Pengyang Wang
Li Li
P. Wang
Yuanchun Zhou
ArXivPDFHTML

Papers citing "FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization"

4 / 4 papers shown
Title
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Zhiyuan Ning
Meng Xiao
Ziyue Qiao
Pengyang Wang
Yuanchun Zhou
167
0
0
08 May 2025
Breaking the Memory Wall for Heterogeneous Federated Learning via Model
  Splitting
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting
Chunlin Tian
Li Li
Kahou Tam
Yebo Wu
Chengzhong Xu
FedML
29
1
0
12 Oct 2024
Feature Selection as Deep Sequential Generative Learning
Feature Selection as Deep Sequential Generative Learning
Wangyang Ying
Dongjie Wang
Haifeng Chen
Yanjie Fu
41
7
0
06 Mar 2024
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,925
0
17 Aug 2015
1