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Optimal Privacy Preserving for Federated Learning in Mobile Edge
  Computing

Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing

14 November 2022
Hai M. Nguyen
N. Chu
Diep N. Nguyen
D. Hoang
Van-Dinh Nguyen
Minh Hoàng Hà
E. Dutkiewicz
Marwan Krunz
    FedML
ArXivPDFHTML

Papers citing "Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing"

2 / 2 papers shown
Title
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
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
174
760
0
28 Sep 2019
1