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Cited By
Unified Group Fairness on Federated Learning
9 November 2021
Fengda Zhang
Kun Kuang
Yuxuan Liu
Long Chen
Chao-Xiang Wu
Fei Wu
Jiaxun Lu
Yunfeng Shao
Jun Xiao
FedML
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Papers citing
"Unified Group Fairness on Federated Learning"
5 / 5 papers shown
Title
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
Sikha Pentyala
Nicola Neophytou
A. Nascimento
Martine De Cock
G. Farnadi
34
17
0
23 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
Junyi Li
Feihu Huang
Heng-Chiao Huang
FedML
19
27
0
03 May 2022
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,084
0
24 Oct 2016
1