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Honest Score Client Selection Scheme: Preventing Federated Learning
  Label Flipping Attacks in Non-IID Scenarios

Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios

10 November 2023
Yanli Li
Huaming Chen
Wei Bao
Zhengmeng Xu
Dong Yuan
    AAML
ArXivPDFHTML

Papers citing "Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios"

4 / 4 papers shown
Title
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
  Survey and Challenges
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
37
2
0
09 Jul 2024
Accelerating Hybrid Federated Learning Convergence under Partial
  Participation
Accelerating Hybrid Federated Learning Convergence under Partial Participation
Jieming Bian
Lei Wang
Kun Yang
Cong Shen
Jie Xu
FedML
12
11
0
10 Apr 2023
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
107
137
0
08 Nov 2021
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
108
611
0
27 Dec 2020
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