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Smoothness Matrices Beat Smoothness Constants: Better Communication
  Compression Techniques for Distributed Optimization

Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization

14 February 2021
M. Safaryan
Filip Hanzely
Peter Richtárik
ArXivPDFHTML

Papers citing "Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization"

3 / 3 papers shown
Title
GradSkip: Communication-Accelerated Local Gradient Methods with Better
  Computational Complexity
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity
A. Maranjyan
M. Safaryan
Peter Richtárik
34
13
0
28 Oct 2022
Federated Optimization Algorithms with Random Reshuffling and Gradient
  Compression
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression
Abdurakhmon Sadiev
Grigory Malinovsky
Eduard A. Gorbunov
Igor Sokolov
Ahmed Khaled
Konstantin Burlachenko
Peter Richtárik
FedML
16
21
0
14 Jun 2022
Linearly Converging Error Compensated SGD
Linearly Converging Error Compensated SGD
Eduard A. Gorbunov
D. Kovalev
Dmitry Makarenko
Peter Richtárik
163
77
0
23 Oct 2020
1