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dc.contributor.authorOnoufriou, Georgios
dc.contributor.authorMayfield, Paul
dc.contributor.authorLeontidis, Georgios
dc.date.accessioned2021-10-13T13:22:01Z
dc.date.available2021-10-13T13:22:01Z
dc.date.issued2021-12
dc.identifier.citationOnoufriou , G , Mayfield , P & Leontidis , G 2021 , ' Fully Homomorphically Encrypted Deep Learning as a Service ' , Machine Learning and Knowledge Extraction , vol. 3 , no. 4 , pp. 819-834 . https://doi.org/10.3390/make3040041en
dc.identifier.issn2504-4990
dc.identifier.otherPURE: 201831244
dc.identifier.otherPURE UUID: fb8539ef-a059-4069-8cf6-f5daf8c0ee14
dc.identifier.otherORCID: /0000-0001-6671-5568/work/101749693
dc.identifier.urihttps://hdl.handle.net/2164/17352
dc.descriptionFunding: This research was funded by UKRI-EPSRC grant “The Internet of Food Things” grant number EP/R045127/1.en
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofMachine Learning and Knowledge Extractionen
dc.rightsCopyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en
dc.subjectSDG 2 - Zero Hungeren
dc.subject2040 Data and Artificial Intelligenceen
dc.subjectdeep learningen
dc.subjectfully homomorphic encryptionen
dc.subjectconvolutional neural networken
dc.subjectprivacy-preserving technologiesen
dc.subjectagri-fooden
dc.subjectdata sharingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/R045127/1en
dc.subject.lccQA75en
dc.titleFully Homomorphically Encrypted Deep Learning as a Serviceen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Vice Principalsen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computer Science and Informaticsen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3390/make3040041


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