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FL_PyTorch: optimization research simulator for federated learning

FL_PyTorch: optimization research simulator for federated learning

7 February 2022
Konstantin Burlachenko
Samuel Horváth
Peter Richtárik
    FedML
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Papers citing "FL_PyTorch: optimization research simulator for federated learning"

5 / 5 papers shown
Title
Federated Learning is Better with Non-Homomorphic Encryption
Federated Learning is Better with Non-Homomorphic Encryption
Konstantin Burlachenko
Abdulmajeed Alrowithi
Fahad Ali Albalawi
Peter Richtárik
FedML
24
6
0
04 Dec 2023
Error Feedback Shines when Features are Rare
Error Feedback Shines when Features are Rare
Peter Richtárik
Elnur Gasanov
Konstantin Burlachenko
18
2
0
24 May 2023
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern
  Error Feedback
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback
Ilyas Fatkhullin
Igor Sokolov
Eduard A. Gorbunov
Zhize Li
Peter Richtárik
42
44
0
07 Oct 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
176
267
0
26 Feb 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
162
563
0
27 Jul 2020
1