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Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid
  Byzantines in Federated Learning

Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning

9 April 2024
Emre Ozfatura
Kerem Ozfatura
Alptekin Kupcu
Deniz Gunduz
    AAML
ArXivPDFHTML

Papers citing "Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning"

5 / 5 papers shown
Title
On the Conflict of Robustness and Learning in Collaborative Machine
  Learning
On the Conflict of Robustness and Learning in Collaborative Machine Learning
Mathilde Raynal
Carmela Troncoso
27
2
0
21 Feb 2024
Can Decentralized Learning be more robust than Federated Learning?
Can Decentralized Learning be more robust than Federated Learning?
Mathilde Raynal
Dario Pasquini
Carmela Troncoso
OOD
FedML
27
4
0
07 Mar 2023
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
29
67
0
24 May 2022
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
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
1