Deep Gradient Compression: Reducing the Communication Bandwidth for
Distributed Training
Y. Lin, S. Han, H. Mao, Y. Wang, and W. Dally. (2017)cite arxiv:1712.01887Comment: we find 99.9% of the gradient exchange in distributed SGD is redundant; we reduce the communication bandwidth by two orders of magnitude without losing accuracy.
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