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Is Shapley Value fair? Improving Client Selection for Mavericks in
  Federated Learning

Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning

20 June 2021
Jiyue Huang
Chi Hong
L. Chen
Stefanie Roos
    FedML
ArXivPDFHTML

Papers citing "Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning"

5 / 5 papers shown
Title
A Comprehensive Study of Shapley Value in Data Analytics
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
95
0
0
02 Dec 2024
Resource-Efficient Federated Learning
Resource-Efficient Federated Learning
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
25
52
0
01 Nov 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
87
946
0
03 Feb 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
109
123
0
24 Oct 2020
Quality Inference in Federated Learning with Secure Aggregation
Quality Inference in Federated Learning with Secure Aggregation
Balázs Pejó
G. Biczók
FedML
19
22
0
13 Jul 2020
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