Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing-Reference-Cited by-同舟云学术

Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing

Author:

Li Yuchen¹,Liang Weifa²^ORCID,Li Jing³,Cheng Xiuzhen⁴^ORCID,Yu Dongxiao⁴^ORCID,Zomaya Albert Y.⁵^ORCID,Guo Song³^ORCID

Affiliation:

1. School of Computing, Australian National University, Canberra, ACT, Australia

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

3. Department of Computing, Hong Kong Polytechnic University, Hong Kong

4. School of Computer Science and Technology, Shandong University, Qingdao, China

5. School of Computer Science, University of Sydney, Sydney, NSW, Australia

Funder

Australian Research Council

Discovery Project Scheme

City University of Hong Kong

Hong Kong RGC Research Impact Fund

General Research Fund

National Natural Science Foundation of China

Shenzhen Science and Technology Innovation Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

Reference38 articles.

5. Federated optimization in heterogeneous networks;li;Proc Mach Learn Syst,2020

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