TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0

Xia, Y Liu, Y Chen, J Liang, Y Khan, F Alturki, R Wang, X

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Field	Value	Language
dc.contributor.author	Xia, Y
dc.contributor.author	Liu, Y
dc.contributor.author	Chen, J
dc.contributor.author	Liang, Y
dc.contributor.author	Khan, F
dc.contributor.author	Alturki, R
dc.contributor.author	Wang, X
dc.date.accessioned	2025-01-28T08:57:59Z
dc.date.available	2025-01-28T08:57:59Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Consumer Electronics, 2024, pp. 1-1
dc.identifier.issn	0098-3063
dc.identifier.issn	1558-4127
dc.identifier.uri	http://hdl.handle.net/10453/184497
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Consumer Electronics
dc.relation.isbasedon	10.1109/tce.2024.3517739
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.title	TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0
dc.type	Journal Article
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
utslib.copyright.status	closed_access	*
dc.date.updated	2025-01-28T08:57:58Z
pubs.publication-status	Published

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