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EDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting

dc.contributor.authorOnoufriou, George
dc.contributor.authorHanheide, Marc
dc.contributor.authorLeontidis, Georgios
dc.date.accessioned2023-02-07T00:09:01Z
dc.date.available2023-02-07T00:09:01Z
dc.date.issued2022-10-24
dc.identifier220188905
dc.identifiercbe9bb9a-471f-4fce-96b9-b2c311d70420
dc.identifier85141593799
dc.identifier.citationOnoufriou , G , Hanheide , M & Leontidis , G 2022 , ' EDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting ' , Sensors , vol. 2022 , no. 22 , 8124 . https://doi.org/10.3390/s22218124en
dc.identifier.issn1424-8220
dc.identifier.otherORCID: /0000-0001-6671-5568/work/121538595
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19424
dc.descriptionThis research was supported in part by the Biotechnology and Biological Sciences Research Council (BBSRC) studentship 2155898 grant: BB/S507453/1.en
dc.format.extent24
dc.format.extent1884359
dc.language.isoeng
dc.relation.ispartofSensorsen
dc.subjectIndustryen
dc.subjectBerry Gardensen
dc.subjectSDG 9 - Industry, Innovation, and Infrastructureen
dc.subject2040 Data and Artificial Intelligenceen
dc.subjectfully homomorphic encryptionen
dc.subjectdeep learningen
dc.subjectmachine learningen
dc.subjectprivacy-preserving technologiesen
dc.subjectagri-fooden
dc.subjectdata sharingen
dc.subjectQA76 Computer softwareen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectBB/S507453/1en
dc.subjectSupplementary Dataen
dc.subject.lccQA76en
dc.titleEDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecastingen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Vice Principalsen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.3390/s22218124
dc.identifier.iss22en


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