Self-Adaptive Gradient Quantization for Geo-Distributed Machine Learning Over Heterogeneous and Dynamic Networks-Reference-Cited by-同舟云学术

Self-Adaptive Gradient Quantization for Geo-Distributed Machine Learning Over Heterogeneous and Dynamic Networks

Author:

Fan Chenyu¹^ORCID,Zhang Xiaoning¹^ORCID,Zhao Yangming²^ORCID,Liu Yutao¹^ORCID,Yu Shui³^ORCID

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

3. School of Computer Science, University of Technology Sydney, Sydney, Australia

Funder

Natural Science Foundation of Sichuan Province

Open Research Projects of Zhejiang Lab

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Natural Science Foundation of Jiangsu Province

Hefei Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Software

Link

Reference38 articles.

2. Gaia: Geo-distributed machine learning approaching LAN speeds;Hsieh,2017

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