Energy or Accuracy? Near-Optimal User Selection and Aggregator Placement for Federated Learning in MEC-Reference-Cited by-同舟云学术

Energy or Accuracy? Near-Optimal User Selection and Aggregator Placement for Federated Learning in MEC

Published:2023 Issue: Volume: Page:1-15
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Xu Zichuan¹^ORCID,Li Dongrui¹,Liang Weifa²^ORCID,Xu Wenzheng³^ORCID,Xia Qiufen⁴^ORCID,Zhou Pan⁵^ORCID,Rana Omer F.⁶^ORCID,Li Hao⁷

Affiliation:

1. School of Software, Dalian University of Technology, China

2. Department of Computer Science, City University of Hong Kong, Hong Kong

3. Department of Computer Science, Sichuan University, China

4. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, the International School of Information Science & Engineering, Dalian University of Technology, Dalian, China

5. Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

6. Physical Sciences and Engineering College, Cardiff University, United Kingdom

7. Ningxia Research Institute, China Coal Research Institute, Ning Xia, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10086671.pdf?arnumber=10086671

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