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REPA: Client Clustering without Training and Data Labels for Improved
  Federated Learning in Non-IID Settings

REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings

25 September 2023
Boris Radovic
Veljko Pejović
    FedML
ArXivPDFHTML

Papers citing "REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings"

2 / 2 papers shown
Title
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
Leming Shen
Qiang Yang
Kaiyan Cui
Yuanqing Zheng
Xiao-Yong Wei
Jianwei Liu
Jinsong Han
FedML
64
11
0
28 Feb 2025
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
Xutong Mu
Yulong Shen
Ke Cheng
Xueli Geng
Jiaxuan Fu
Tao Zhang
Zhiwei Zhang
FedML
33
161
0
25 Sep 2021
1