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Powersgd ⭐ 112

Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727

Deep Gradient Compression ⭐ 106

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

GRACE - GRAdient ComprEssion for distributed deep learning

Microexr ⭐ 17

A lightweight subset of the OpenEXR library.

Atomo: Communication-efficient Learning via Atomic Sparsification

Hdr_tonemapping_fattal02 ⭐ 12

Fattal02 HDR Tone mapping operator. Gradient Domain High Dynamic Range Compression.

Deepgradientcompression ⭐ 11

It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients are compressed before they are being sent. This approach greatly reduces the communication bandwidth and thus improves multi node training.

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1-6 of 6 search results

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