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Fairness-aware Federated Minimax Optimization with Convergence Guarantee

Fairness-aware Federated Minimax Optimization with Convergence Guarantee

10 July 2023
Gerry Windiarto Mohamad Dunda
Shenghui Song
    FedML
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Papers citing "Fairness-aware Federated Minimax Optimization with Convergence Guarantee"

4 / 4 papers shown
Title
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
L. Zhang
Chaochao Chen
Zhongxuan Han
Qiyong Zhong
Xiaolin Zheng
FedML
63
0
0
21 Mar 2025
Enforcing fairness in private federated learning via the modified method
  of differential multipliers
Enforcing fairness in private federated learning via the modified method of differential multipliers
Borja Rodríguez Gálvez
Filip Granqvist
Rogier van Dalen
M. Seigel
FedML
42
52
0
17 Sep 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
184
411
0
14 Jul 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,198
0
16 Aug 2016
1