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Federated Fairness Analytics: Quantifying Fairness in Federated Learning

Federated Fairness Analytics: Quantifying Fairness in Federated Learning

15 August 2024
Oscar Dilley
Juan Marcelo Parra Ullauri
Rasheed Hussain
Dimitra Simeonidou
    FedML
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Papers citing "Federated Fairness Analytics: Quantifying Fairness in Federated Learning"

4 / 4 papers shown
Title
Secure Shapley Value for Cross-Silo Federated Learning (Technical
  Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
58
24
0
11 Sep 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
Sikha Pentyala
Nicola Neophytou
A. Nascimento
Martine De Cock
G. Farnadi
28
17
0
23 May 2022
Unified Group Fairness on Federated Learning
Unified Group Fairness on Federated Learning
Fengda Zhang
Kun Kuang
Yuxuan Liu
Long Chen
Chao-Xiang Wu
Fei Wu
Jiaxun Lu
Yunfeng Shao
Jun Xiao
FedML
47
20
0
09 Nov 2021
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
1