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Privacy-Preserving Aggregation for Decentralized Learning with
  Byzantine-Robustness

Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness

27 April 2024
Ali Reza Ghavamipour
Benjamin Zi Hao Zhao
Oguzhan Ersoy
Fatih Turkmen
    FedML
    AAML
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Papers citing "Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness"

4 / 4 papers shown
Title
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
38
4
0
07 Mar 2023
On the (In)security of Peer-to-Peer Decentralized Machine Learning
On the (In)security of Peer-to-Peer Decentralized Machine Learning
Dario Pasquini
Mathilde Raynal
Carmela Troncoso
OOD
FedML
35
19
0
17 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
106
611
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