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

Xiao, Y Xia, R Li, Y Shi, G Nguyen, DN Hoang, DT Niyato, D Krunz, M

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Field	Value	Language
dc.contributor.author	Xiao, Y
dc.contributor.author	Xia, R
dc.contributor.author	Li, Y
dc.contributor.author	Shi, G
dc.contributor.author	Nguyen, DN
dc.contributor.author	Hoang, DT
dc.contributor.author	Niyato, D
dc.contributor.author	Krunz, M
dc.date.accessioned	2023-03-13T23:13:50Z
dc.date.available	2023-03-13T23:13:50Z
dc.date.issued	2023-01-31
dc.identifier.citation	arXiv, 2023
dc.identifier.uri	http://hdl.handle.net/10453/167242
dc.language	en
dc.relation.ispartof	arXiv
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
dc.type	Preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-13T23:13:44Z

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