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Security and Privacy Issues and Solutions in Federated Learning for
  Digital Healthcare

Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare

16 January 2024
Hyejun Jeong
Tai-Myung Chung
    FedML
ArXivPDFHTML

Papers citing "Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare"

4 / 4 papers shown
Title
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
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
355
0
07 Dec 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
433
0
04 Mar 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
1,032
0
29 Nov 2018
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