PEFL: A Privacy-Enhanced Federated Learning Scheme for Big Data Analytics

Zhang, J; Chen, B; Yu, S; Deng, H

PEFL: A Privacy-Enhanced Federated Learning Scheme for Big Data Analytics

Zhang, J Chen, B Yu, S

Deng, H

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2019 IEEE Global Communications Conference (GLOBECOM), 2019
Issue Date:: 2019-12

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Field	Value	Language
dc.contributor.author	Zhang, J	en_US
dc.contributor.author	Chen, B	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.contributor.author	Deng, H	en_US
dc.date	2019-12-09	en_US
dc.date.accessioned	2020-03-30T04:39:34Z
dc.date.available	2020-03-30T04:39:34Z
dc.date.issued	2019-12	en_US
dc.identifier.citation	2019 IEEE Global Communications Conference (GLOBECOM), 2019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139617
dc.publisher	IEEE	en_US
dc.relation.ispartof	2019 IEEE Global Communications Conference (GLOBECOM)	en_US
dc.relation.ispartof	GLOBECOM 2019 - 2019 IEEE Global Communications Conference	en_US
dc.relation.isbasedon	10.1109/globecom38437.2019.9014272	en_US
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	PEFL: A Privacy-Enhanced Federated Learning Scheme for Big Data Analytics	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.finish-date	2019-12-13	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2019-12-09	en_US

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http://hdl.handle.net/10453/139617