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Hierarchically Fair Federated Learning

Hierarchically Fair Federated Learning

22 April 2020
Jingfeng Zhang
Cheng Li
A. Robles-Kelly
Mohan Kankanhalli
    FedML
ArXivPDFHTML

Papers citing "Hierarchically Fair Federated Learning"

10 / 10 papers shown
Title
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in
  Federated Learning
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
Syed Irfan Ali Meerza
Luyang Liu
Jiaxin Zhang
Jian-Dong Liu
FedML
31
2
0
07 Jan 2024
FedDebug: Systematic Debugging for Federated Learning Applications
FedDebug: Systematic Debugging for Federated Learning Applications
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
34
11
0
09 Jan 2023
Incentive Mechanisms for Federated Learning: From Economic and Game
  Theoretic Perspective
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedML
AI4CE
43
119
0
20 Nov 2021
Towards Fairness-Aware Federated Learning
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
21
79
0
02 Nov 2021
Improving Fairness via Federated Learning
Improving Fairness via Federated Learning
Yuchen Zeng
Hongxu Chen
Kangwook Lee
FedML
19
60
0
29 Oct 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning
Improving Fairness for Data Valuation in Horizontal Federated Learning
Zhenan Fan
Huang Fang
Zirui Zhou
Jian Pei
M. Friedlander
Changxin Liu
Yong Zhang
TDI
FedML
45
47
0
19 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation
  in Federated Learning
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu
Yuanyuan Chen
Han Yu
Yang Liu
Li-zhen Cui
FedML
TDI
27
124
0
05 Sep 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated
  Learning
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning
Xubo Yue
Maher Nouiehed
Raed Al Kontar
FedML
29
37
0
05 Aug 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
846
0
01 Mar 2021
Efficient Client Contribution Evaluation for Horizontal Federated
  Learning
Efficient Client Contribution Evaluation for Horizontal Federated Learning
Jie Zhao
Xinghua Zhu
Jianzong Wang
Jing Xiao
FedML
41
28
0
26 Feb 2021
1