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Efficient Federated Learning with Enhanced Privacy via Lottery Ticket
  Pruning in Edge Computing

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing

2 May 2023
Yi Shi
Kang Wei
Li Shen
Jun Li
Xueqian Wang
Bo Yuan
Song Guo
ArXivPDFHTML

Papers citing "Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing"

3 / 3 papers shown
Title
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
168
350
0
25 Sep 2021
Communication-Efficient and Personalized Federated Lottery Ticket
  Learning
Communication-Efficient and Personalized Federated Lottery Ticket Learning
Sejin Seo
Seung-Woo Ko
Jihong Park
Seong-Lyun Kim
M. Bennis
FedML
47
15
0
26 Apr 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
1,687
0
14 Apr 2018
1