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GLOCALFAIR: Jointly Improving Global and Local Group Fairness in
  Federated Learning

GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning

7 January 2024
Syed Irfan Ali Meerza
Luyang Liu
Jiaxin Zhang
Jian-Dong Liu
    FedML
ArXivPDFHTML

Papers citing "GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning"

3 / 3 papers shown
Title
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
36
51
0
17 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning
FedFair: Training Fair Models In Cross-Silo Federated Learning
Lingyang Chu
Lanjun Wang
Yanjie Dong
J. Pei
Zirui Zhou
Yong Zhang
FedML
56
40
0
13 Sep 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,698
0
18 Mar 2020
1