DSpace at KOASAS
College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Conference Papers(학술회의논문)

SGD on random mixtures: Private machine learning under data-breach threats

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 184
  • Download : 0
Export
DC FieldValueLanguage
dc.contributor.authorLee, Kangwookko
dc.contributor.authorSuh, Changhoko
dc.contributor.authorLee, Kyoungminko
dc.contributor.authorKim, Hoonko
dc.contributor.authorRamchandran, Kannanko
dc.date.accessioned2018-12-20T06:09:53Z-
dc.date.available2018-12-20T06:09:53Z-
dc.date.created2018-12-11-
dc.date.issued2018-02-15-
dc.identifier.citationSysML-
dc.identifier.urihttp://hdl.handle.net/10203/248182-
dc.languageEnglish-
dc.publisherStanford-
dc.titleSGD on random mixtures: Private machine learning under data-breach threats-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameSysML-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationStanford, CA-
dc.contributor.localauthorSuh, Changho-
dc.contributor.nonIdAuthorLee, Kangwook-
dc.contributor.nonIdAuthorLee, Kyoungmin-
dc.contributor.nonIdAuthorKim, Hoon-
dc.contributor.nonIdAuthorRamchandran, Kannan-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

Display Simple Item Record

qr_code

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


rss_1.0 rss_2.0 atom_1.0