On Communication Compression for Distributed Optimization on Heterogeneous Data

4 September 2020

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

6 / 6 papers shown

Title
$γ$ -FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning Rongwei Lu Yutong Jiang Jinrui Zhang Chunyang Li Yifei Zhu Bin Chen Zhi Wang FedML 7 0 0 18 May 2025
Accelerated Distributed Optimization with Compression and Error Feedback Yuan Gao Anton Rodomanov Jeremy Rack Sebastian U. Stich 54 0 0 11 Mar 2025
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 Hui-Po Wang Sebastian U. Stich Yang He Mario Fritz FedML AI4CE 36 46 0 11 Oct 2021
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication Sebastian U. Stich Sai Praneeth Karimireddy FedML 22 20 0 11 Sep 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016