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dc.contributor.authorMugunthan, Vaikkunth
dc.contributor.authorGokul, Vignesh
dc.contributor.authorKagal, Lalana
dc.contributor.authorDubnov, Shlomo
dc.date.accessioned2022-10-27T17:38:36Z
dc.date.available2022-10-27T17:38:36Z
dc.date.issued2021-04-26
dc.identifier.isbn978-1-4503-8298-4
dc.identifier.urihttps://hdl.handle.net/1721.1/146034
dc.publisherACM|The 1st Workshop on Machine Learning and Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3437984.3458826en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|The 1st Workshop on Machine Learning and Systemsen_US
dc.titleDPD-InfoGAN: Differentially Private Distributed InfoGANen_US
dc.typeArticleen_US
dc.identifier.citationMugunthan, Vaikkunth, Gokul, Vignesh, Kagal, Lalana and Dubnov, Shlomo. 2021. "DPD-InfoGAN: Differentially Private Distributed InfoGAN."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-24T19:26:41Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-10-24T19:26:41Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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