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Resisting Backdoor Attacks in Federated Learning via Bidirectional
  Elections and Individual Perspective

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective

28 September 2023
Zhen Qin
Feiyi Chen
Chen Zhi
Xueqiang Yan
Shuiguang Deng
    AAML
    FedML
ArXivPDFHTML

Papers citing "Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective"

4 / 4 papers shown
Title
High Dimensional Distributed Gradient Descent with Arbitrary Number of
  Byzantine Attackers
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
Puning Zhao
Zhiguo Wan
OOD
FedML
38
4
0
25 Jul 2023
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for
  Private Learning
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedML
SILM
94
110
0
25 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
89
946
0
03 Feb 2021
1