GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training

20 May 2023

Papers citing "GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training"

6 / 6 papers shown

Title
OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters S. Tyagi Prateek Sharma 63 0 0 21 Mar 2025
Lossless and Near-Lossless Compression for Foundation Models Moshik Hershcovitch Leshem Choshen Andrew Wood Ilias Enmouri Peter Chin S. Sundararaman Danny Harnik 49 6 0 05 Apr 2024
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks S. Tyagi Martin Swany 37 1 0 05 Dec 2023
Accelerating Distributed ML Training via Selective Synchronization S. Tyagi Martin Swany FedML 24 3 0 16 Jul 2023
Scavenger: A Cloud Service for Optimizing Cost and Performance of ML Training S. Tyagi Prateek Sharma 16 5 0 12 Mar 2023
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems A. Abdelmoniem Ahmed Elzanaty Mohamed-Slim Alouini Marco Canini 49 74 0 26 Jan 2021