Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks

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dc.contributor.authorSohn, Jy Yongko
dc.contributor.authorMoon, Jaekyunko
dc.contributor.authorHAN, DONGJUNko
dc.contributor.authorChoi, Beongjunko
dc.date.accessioned2020-12-10T13:10:18Z-
dc.date.available2020-12-10T13:10:18Z-
dc.date.created2020-12-01-
dc.date.created2020-12-01-
dc.date.created2020-12-01-
dc.date.issued2020-12-08-
dc.identifier.citation34th Conference on Neural Information Processing Systems (NeurIPS) 2020-
dc.identifier.urihttp://hdl.handle.net/10203/278183-
dc.languageEnglish-
dc.publisherNeural Information Processing Systems-
dc.titleElection Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85100130189-
dc.type.rimsCONF-
dc.citation.publicationname34th Conference on Neural Information Processing Systems (NeurIPS) 2020-
dc.identifier.conferencecountryCN-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorMoon, Jaekyun-
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EE-Conference Papers(학술회의논문)
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