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FedVal: Different good or different bad in federated learning

FedVal: Different good or different bad in federated learning

6 June 2023
Viktor Valadi
Xinchi Qiu
Pedro Gusmão
Nicholas D. Lane
Mina Alibeigi
    FedML
    AAML
ArXivPDFHTML

Papers citing "FedVal: Different good or different bad in federated learning"

4 / 4 papers shown
Title
An Algorithmic Framework for Bias Bounties
An Algorithmic Framework for Bias Bounties
Ira Globus-Harris
Michael Kearns
Aaron Roth
FedML
95
24
0
25 Jan 2022
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
85
943
0
03 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
104
610
0
27 Dec 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,698
0
18 Mar 2020
1