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On Communication Compression for Distributed Optimization on
  Heterogeneous Data

On Communication Compression for Distributed Optimization on Heterogeneous Data

4 September 2020
Sebastian U. Stich
ArXivPDFHTML

Papers citing "On Communication Compression for Distributed Optimization on Heterogeneous Data"

4 / 4 papers shown
Title
Accelerated Distributed Optimization with Compression and Error Feedback
Accelerated Distributed Optimization with Compression and Error Feedback
Yuan Gao
Anton Rodomanov
Jeremy Rack
Sebastian U. Stich
51
0
0
11 Mar 2025
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
ProgFed: Effective, Communication, and Computation Efficient Federated
  Learning by Progressive Training
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
Hui-Po Wang
Sebastian U. Stich
Yang He
Mario Fritz
FedML
AI4CE
33
46
0
11 Oct 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
1