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Privacy-preserving Federated Primal-dual Learning for Non-convex and
  Non-smooth Problems with Model Sparsification

Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification

30 October 2023
Yiwei Li
Chien-Wei Huang
Shuai Wang
Chong-Yung Chi
Tony Q. S. Quek
    FedML
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Papers citing "Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification"

2 / 2 papers shown
Title
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
760
0
28 Sep 2019
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
136
420
0
29 Nov 2018
1