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dc.contributor.authorGogineni, Vinay Chakravarthi
dc.contributor.authorWerner, Stefan
dc.contributor.authorHuang, Yih-Fang
dc.contributor.authorKuh, Anthony
dc.date.accessioned2023-01-31T11:25:17Z
dc.date.available2023-01-31T11:25:17Z
dc.date.created2022-11-02T10:18:12Z
dc.date.issued2022
dc.identifier.issn2327-4662
dc.identifier.urihttps://hdl.handle.net/11250/3047362
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleCommunication-Efficient Online Federated Learning Strategies for Kernel Regressionen_US
dc.title.alternativeCommunication-Efficient Online Federated Learning Strategies for Kernel Regressionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2022 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.source.journalIEEE Internet of Things Journalen_US
dc.identifier.doi10.1109/JIOT.2022.3218484
dc.identifier.cristin2067792
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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