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Conference Paper: Federated Graph Learning with Periodic Neighbour Sampling

TitleFederated Graph Learning with Periodic Neighbour Sampling
Authors
DU, BWu, C
Issue Date2022
PublisherIEEE.
Citation
2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), p. 1-10 How to Cite?
DOI: http://dx.doi.org/10.1109/IWQoS54832.2022.9812908
Persistent Identifierhttp://hdl.handle.net/10722/317987
ISI Accession Number ID
WOS:000853833300045

 

DC FieldValueLanguage
dc.contributor.authorDU, B-
dc.contributor.authorWu, C-
dc.date.accessioned2022-10-07T10:30:36Z-
dc.date.available2022-10-07T10:30:36Z-
dc.date.issued2022-
dc.identifier.citation2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), p. 1-10-
dc.identifier.urihttp://hdl.handle.net/10722/317987-
dc.languageeng-
dc.publisherIEEE. -
dc.relation.ispartof2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)-
dc.rights2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS). 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.titleFederated Graph Learning with Periodic Neighbour Sampling-
dc.typeConference_Paper-
dc.identifier.emailWu, C: cwu@cs.hku.hk-
dc.identifier.authorityWu, C=rp01397-
dc.identifier.doi10.1109/IWQoS54832.2022.9812908-
dc.identifier.hkuros338010-
dc.identifier.spage1-
dc.identifier.epage10-
dc.identifier.isiWOS:000853833300045-

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