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Gradient Sparsification for Efficient Wireless Federated Learning with
  Differential Privacy

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy

9 April 2023
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Feng Shu
Haitao Zhao
Wen Chen
Hongbo Zhu
    FedML
ArXivPDFHTML

Papers citing "Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy"

4 / 4 papers shown
Title
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
Guangji Chen
Jun Li
Qingqing Wu
Yiyang Ni
68
0
0
30 Nov 2024
Vertical Federated Learning for Effectiveness, Security, Applicability:
  A Survey
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
70
3
0
25 May 2024
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
144
348
0
25 Sep 2021
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
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