3LC - Lightweight and Effective Traffic Compression for Distributed Machine Learning

MLSys, 2019.

Cited by: 0|Bibtex|Views77
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

The performance and efficiency of distributed machine learning (ML) depends significantly on how long it takes for nodes to exchange state changes. Overly-aggressive attempts to reduce communication often sacrifice final model accuracy and necessitate additional ML techniques to compensate for this loss, limiting their generality. Some ...More

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