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Fairness in Federated Learning via Core-Stability

Fairness in Federated Learning via Core-Stability

3 November 2022
Bhaskar Chaudhury
Linyi Li
Mintong Kang
Yue Liu
R. Mehta
    FedML
ArXiv (abs)PDFHTML

Papers citing "Fairness in Federated Learning via Core-Stability"

5 / 5 papers shown
Title
CORA: Coalitional Rational Advantage Decomposition for Multi-Agent Policy Gradients
CORA: Coalitional Rational Advantage Decomposition for Multi-Agent Policy Gradients
Mengda Ji
Genjiu Xu
Liying Wang
33
0
0
03 Jun 2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
Drashthi Doshi
Aditya Vema Reddy Kesari
Swaprava Nath
Avishek Ghosh
Suhas S Kowshik
FedML
Presented at ResearchTrend Connect | FedML on 18 Jun 2025
126
0
0
17 May 2025
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Mengmeng Chen
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Qiqi Liu
Qicheng Lao
Han Yu
FedML
99
4
0
25 Oct 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
104
1
0
01 Jun 2024
Models of fairness in federated learning
Models of fairness in federated learning
Kate Donahue
Jon M. Kleinberg
FedML
108
11
0
01 Dec 2021
1