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Federated Deep Learning with Bayesian Privacy

Federated Deep Learning with Bayesian Privacy

27 September 2021
Hanlin Gu
Lixin Fan
Bowen Li Jie Li
Yan Kang
Yuan Yao
Qiang Yang
    FedML
ArXivPDFHTML

Papers citing "Federated Deep Learning with Bayesian Privacy"

4 / 4 papers shown
Title
A Game-theoretic Framework for Privacy-preserving Federated Learning
A Game-theoretic Framework for Privacy-preserving Federated Learning
Xiaojin Zhang
Lixin Fan
Si-Yi Wang
Wenjie Li
Kai Chen
Qiang Yang
FedML
21
4
0
11 Apr 2023
Gradient Obfuscation Gives a False Sense of Security in Federated
  Learning
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
D. Baron
H. Dai
FedML
28
46
0
08 Jun 2022
Privacy-preserving Federated Adversarial Domain Adaption over Feature
  Groups for Interpretability
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability
Yan Kang
Yang Liu
Yuezhou Wu
Guoqiang Ma
Qiang Yang
11
39
0
22 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining
  Competitive Performance in Federated Learning
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
Yuezhou Wu
Yan Kang
Jiahuan Luo
Yuanqin He
Qiang Yang
FedML
AAML
17
68
0
16 Nov 2021
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