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FedFair^3: Unlocking Threefold Fairness in Federated Learning

FedFair^3: Unlocking Threefold Fairness in Federated Learning

29 January 2024
Simin Javaherian
Sanjeev Panta
Shelby Williams
Md Sirajul Islam
Li Chen
    FedML
ArXivPDFHTML

Papers citing "FedFair^3: Unlocking Threefold Fairness in Federated Learning"

4 / 4 papers shown
Title
Personalized Federated Learning via Convex Clustering
Personalized Federated Learning via Convex Clustering
Aleksandar Armacki
Dragana Bajović
D. Jakovetić
S. Kar
FedML
11
15
0
01 Feb 2022
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
24
47
0
19 Sep 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
233
485
0
31 Dec 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
141
1,663
0
14 Apr 2018
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