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FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in
  Federated Learning

FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning

28 May 2024
Zihui Wang
Zheng Wang
Lingjuan Lyu
Zhaopeng Peng
Zhicheng Yang
Chenglu Wen
Rongshan Yu
Cheng-i Wang
Xiaoliang Fan
    FedML
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Papers citing "FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning"

2 / 2 papers shown
Title
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
162
206
0
26 Feb 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
103
105
0
24 Oct 2020
1