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Securing Distributed SGD against Gradient Leakage Threats

Securing Distributed SGD against Gradient Leakage Threats

10 May 2023
Wenqi Wei
Ling Liu
Jingya Zhou
Ka-Ho Chow
Yanzhao Wu
    FedML
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Papers citing "Securing Distributed SGD against Gradient Leakage Threats"

4 / 4 papers shown
Title
Dyn-D$^2$P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
Dyn-D2^22P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
Z. Zhu
Y. Huang
Xin Wang
Shouling Ji
Jinming Xu
26
0
0
10 May 2025
On the Efficiency of Privacy Attacks in Federated Learning
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum
Ka-Ho Chow
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
FedML
37
1
0
15 Apr 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
28
16
0
02 Feb 2024
Federated Learning with Local Differential Privacy: Trade-offs between
  Privacy, Utility, and Communication
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim
Onur Gunlu
Rafael F. Schaefer
FedML
110
118
0
09 Feb 2021
1