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2403.06319
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Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
10 March 2024
Hamid Mozaffari
Sunav Choudhary
Amir Houmansadr
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Papers citing
"Fake or Compromised? Making Sense of Malicious Clients in Federated Learning"
4 / 4 papers shown
Title
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein
Amrit Singh Bedi
Abdirisak Mohamed
Furong Huang
FedML
36
0
0
22 May 2024
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
177
126
0
16 Feb 2021
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
131
157
0
22 Jul 2020
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
179
1,032
0
29 Nov 2018
1