FCH, an incentive framework for data-owner dominated federated learning

Xu, H

Nanda, P

Liang, J He, X

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Journal of Information Security and Applications, 2023, 76, pp. 103521
Issue Date:: 2023-08

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Field	Value	Language
dc.contributor.author	Xu, H https://orcid.org/0000-0002-3580-9403
dc.contributor.author	Nanda, P https://orcid.org/0000-0002-5748-155X
dc.contributor.author	Liang, J
dc.contributor.author	He, X
dc.date.accessioned	2023-07-06T00:37:25Z
dc.date.available	2023-07-06T00:37:25Z
dc.date.issued	2023-08
dc.identifier.citation	Journal of Information Security and Applications, 2023, 76, pp. 103521
dc.identifier.issn	2214-2126
dc.identifier.uri	http://hdl.handle.net/10453/171230
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Journal of Information Security and Applications
dc.relation.isbasedon	10.1016/j.jisa.2023.103521
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	4604 Cybersecurity and privacy
dc.title	FCH, an incentive framework for data-owner dominated federated learning
dc.type	Journal Article
utslib.citation.volume	76
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 - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-07-06T00:37:24Z
pubs.publication-status	Accepted
pubs.volume	76

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