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From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
24 February 2023
Edwige Cyffers
A. Bellet
D. Basu
FedML
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Papers citing
"From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning"
7 / 7 papers shown
Title
Don't Forget What I did?: Assessing Client Contributions in Federated Learning
Bishwamittra Ghosh
Debabrota Basu
Huazhu Fu
Wang Yuan
Renuga Kanagavelu
Jiang Jin Peng
Liu Yong
Goh Siow Mong Rick
Qingsong Wei
FedML
38
0
0
11 Mar 2024
Privacy Attacks in Decentralized Learning
Abdellah El Mrini
Edwige Cyffers
A. Bellet
22
2
0
15 Feb 2024
Differentially Private Decentralized Learning with Random Walks
Edwige Cyffers
A. Bellet
Jalaj Upadhyay
FedML
36
2
0
12 Feb 2024
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions
T.-H. Hubert Chan
Hao Xie
Mengshi Zhao
32
1
0
14 Dec 2023
Differentially Private Federated Learning via Inexact ADMM
Minseok Ryu
Kibaek Kim
FedML
26
15
0
11 Jun 2021
Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz
Brendan McMahan
Shuang Song
Om Thakkar
Abhradeep Thakurta
Zheng Xu
FedML
182
154
0
26 Feb 2021
Privacy Amplification by Decentralization
Edwige Cyffers
A. Bellet
FedML
44
39
0
09 Dec 2020
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