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Beyond Throughput and Compression Ratios: Towards High End-to-end
  Utility of Gradient Compression

Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression

1 July 2024
Wenchen Han
S. Vargaftik
Michael Mitzenmacher
Brad Karp
Ran Ben-Basat
ArXiv (abs)PDFHTML

Papers citing "Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression"

2 / 2 papers shown
Title
PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning
PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep LearningDesign Automation Conference (DAC), 2025
Yisu Wang
Ruilong Wu
Xinjiao Li
Dirk Kutscher
322
0
0
24 May 2025
Optimal and Near-Optimal Adaptive Vector Quantization
Optimal and Near-Optimal Adaptive Vector Quantization
Ran Ben-Basat
Y. Ben-Itzhak
Michael Mitzenmacher
S. Vargaftik
MQ
169
1
0
05 Feb 2024
1