Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach-Reference-Cited by-同舟云学术

Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach

Author:

Liu Xuezheng¹^ORCID,Zhong Zhicong²,Zhou Yipeng³^ORCID,Wu Di¹^ORCID,Chen Xu¹^ORCID,Chen Min⁴^ORCID,Sheng Quan Z.³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China

3. Faculty of Science and Engineering, School of Computing, Macquarie University, Sydney, NSW, Australia

4. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province

Program for Guangdong Introducing Innovative and Entrepreneurial Teams

Guangdong Provincial Pearl River Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

Reference48 articles.

1. Understanding torus network performance through simulations;raicu;Proc Greater Chicago Area Syst Res Workshop,2014

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