Inverse-GMM: A Latency Distribution Shaping Method for Industrial Cooperative Deep Learning Systems-Reference-Cited by-同舟云学术

Inverse-GMM: A Latency Distribution Shaping Method for Industrial Cooperative Deep Learning Systems

Author:

Qin Fei¹^ORCID,Xiao Yucong¹,Sun Xian²^ORCID,Dai Xuewu³,Zhang Wuxiong⁴^ORCID,Shen Fei⁴

Affiliation:

1. School of Electronic and Electrical Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

2. Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China

3. Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle-upon-Tyne, U.K.

4. Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology (SIMIT), Shanghai, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Hundred Talent Program of Chinese Academy of Sciences

Key Project of Science and Technology Commission of Shanghai Municipality

Project of Science and Technology Commission of Shanghai

Engineering and Physical Sciences Research Council and Siemens

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference31 articles.

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