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Conference Paper: FedHe: Heterogeneous Models and Communication-Efficient Federated Learning

TitleFedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Authors
CHAN, YHNgai, CHE
Issue Date2021
PublisherIEEE.
Citation
2021 17th International Conference on Mobility, Sensing and Networking (MSN), p. 207-214 How to Cite?
DOI: http://dx.doi.org/10.1109/MSN53354.2021.00043
Persistent Identifierhttp://hdl.handle.net/10722/321075
ISI Accession Number ID
WOS:000817822300027

 

DC FieldValueLanguage
dc.contributor.authorCHAN, YH-
dc.contributor.authorNgai, CHE-
dc.date.accessioned2022-11-01T04:46:29Z-
dc.date.available2022-11-01T04:46:29Z-
dc.date.issued2021-
dc.identifier.citation2021 17th International Conference on Mobility, Sensing and Networking (MSN), p. 207-214-
dc.identifier.urihttp://hdl.handle.net/10722/321075-
dc.languageeng-
dc.publisherIEEE. -
dc.relation.ispartof2021 17th International Conference on Mobility, Sensing and Networking (MSN)-
dc.rights2021 17th International Conference on Mobility, Sensing and Networking (MSN). Copyright © IEEE.-
dc.rights©20xx 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.-
dc.titleFedHe: Heterogeneous Models and Communication-Efficient Federated Learning-
dc.typeConference_Paper-
dc.identifier.emailNgai, CHE: chngai@eee.hku.hk-
dc.identifier.authorityNgai, CHE=rp02656-
dc.identifier.doi10.1109/MSN53354.2021.00043-
dc.identifier.hkuros340938-
dc.identifier.spage207-
dc.identifier.epage214-
dc.identifier.isiWOS:000817822300027-

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