CP-SGD: Distributed stochastic gradient descent with compression and periodic compensation

Author:

Yu EndaORCID,Dong DezunORCID,Xu Yemao,Ouyang Shuo,Liao Xiangke

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference43 articles.

1. Tensorflow: a system for large-scale machine learning;Abadi,2016

2. Sparse communication for distributed gradient descent;Aji,2017

3. Qsgd: communication-efficient sgd via gradient quantization and encoding;Alistarh,2017

4. Stochastic gradient push for distributed deep learning;Assran,2019

5. S-caffe: co-designing mpi runtimes and caffe for scalable deep learning on modern gpu clusters;Awan,2017

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