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dc.contributor.authorOnoufriou, George
dc.contributor.authorHanheide, Marc
dc.contributor.authorLeontidis, Georgios
dc.date.accessioned2022-04-05T19:04:01Z
dc.date.available2022-04-05T19:04:01Z
dc.date.issued2021-10-26
dc.identifier.citationOnoufriou , G , Hanheide , M & Leontidis , G 2021 ' EDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs ' ArXiv , pp. 1-12 . https://doi.org/10.48550/arXiv.2110.13638en
dc.identifier.otherPURE: 215068585
dc.identifier.otherPURE UUID: 1f213150-7914-48bc-aef3-b9e587ecab3e
dc.identifier.otherORCID: /0000-0001-6671-5568/work/111043814
dc.identifier.urihttps://hdl.handle.net/2164/18349
dc.descriptionThe authors would like to thank the British Biotechnology and Biological Sciences Research Council (BBSRC) in collaboration with Berry Gardens Growers and the University of Lincoln for funding and support.en
dc.format.extent12
dc.language.isoeng
dc.publisherArXiv
dc.relation.ispartofen
dc.rightshttps://creativecommons.org/licenses/by-sa/4.0/en
dc.subjectSDG 2 - Zero Hungeren
dc.subjectSDG 8 - Decent Work and Economic Growthen
dc.subjectSDG 12 - Responsible Consumption and Productionen
dc.subjectSDG 9 - Industry, Innovation, and Infrastructureen
dc.subject2040 Data and Artificial Intelligenceen
dc.subject2040 Health, Nutrition and Wellbeingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subject.lccQA75en
dc.titleEDLaaS : Fully Homomorphic Encryption Over Neural Network Graphsen
dc.typeWorking or discussion paperen
dc.contributor.institutionUniversity of Aberdeen.Vice Principalsen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.versionPreprinten
dc.identifier.doihttps://doi.org/10.48550/arXiv.2110.13638


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