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Federated Multi-Armed Bandits Under Byzantine Attacks

Federated Multi-Armed Bandits Under Byzantine Attacks

9 May 2022
Artun Saday
Ilker Demirel
Yiğit Yıldırım
Cem Tekin
    AAML
ArXivPDFHTML

Papers citing "Federated Multi-Armed Bandits Under Byzantine Attacks"

7 / 7 papers shown
Title
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
16
0
0
26 Dec 2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial
  Participants in An Adversarial Environment
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment
Xingrong Dong
Zhaoxian Wu
Qing Ling
Zhi Tian
AAML
22
9
0
16 Jul 2023
Federated Multi-Armed Bandits
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
53
91
0
28 Jan 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design
  Examples
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
Xizixiang Wei
Cong Shen
FedML
36
15
0
06 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
351
0
07 Dec 2020
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
134
83
0
24 Oct 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,031
0
29 Nov 2018
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