Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach-Reference-Cited by-同舟云学术

Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach

Author:

Xiao Yong¹^ORCID,Xia Rong¹,Li Yingyu²^ORCID,Shi Guangming³^ORCID,Nguyen Diep N.⁴^ORCID,Hoang Dinh Thai⁴^ORCID,Niyato Dusit⁵^ORCID,Krunz Marwan⁶^ORCID

Affiliation:

1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. School of Mech. Eng. and Elect. Inform., China University of Geosciences, Wuhan, China

3. Peng Cheng Laboratory, Shenzhen, Guangdong, China

4. School of Electrical and Data Engineering, University of Technology Sydney, Australia

5. School of Computer Science and Engineering, Nanyang Technological University, Singapore

6. Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ

Funder

National Natural Science Foundation of China

Key R & D Program of Hubei Province of China

major key project of Peng Cheng Laboratory

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

Reference75 articles.

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