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On the Relevance of Byzantine Robust Optimization Against Data Poisoning

On the Relevance of Byzantine Robust Optimization Against Data Poisoning

1 May 2024
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
    AAML
ArXivPDFHTML

Papers citing "On the Relevance of Byzantine Robust Optimization Against Data Poisoning"

5 / 5 papers shown
Title
LiD-FL: Towards List-Decodable Federated Learning
LiD-FL: Towards List-Decodable Federated Learning
Hong Liu
Liren Shan
Han Bao
Ronghui You
Yuhao Yi
Jiancheng Lv
FedML
44
0
0
09 Aug 2024
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
31
67
0
24 May 2022
Approximate Byzantine Fault-Tolerance in Distributed Optimization
Approximate Byzantine Fault-Tolerance in Distributed Optimization
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
28
42
0
22 Jan 2021
Clean-Label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao
Xingjun Ma
Xiang Zheng
James Bailey
Jingjing Chen
Yu-Gang Jiang
AAML
198
252
0
06 Mar 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,201
0
16 Aug 2016
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