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

Onoufriou, GeorgeHanheide, MarcLeontidis, Georgios2022-10-242022-10-242022-10-24Onoufriou, 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/s222181241424-8220ORCID: /0000-0001-6671-5568/work/121538595https://hdl.handle.net/2164/19424This research was supported in part by the Biotechnology and Biological Sciences Research Council (BBSRC) studentship 2155898 grant: BB/S507453/1.241884359engIndustryBerry GardensSDG 9 - Industry, Innovation, and Infrastructure2040 Data and Artificial Intelligencefully homomorphic encryptiondeep learningmachine learningprivacy-preserving technologiesagri-fooddata sharingQA76 Computer softwareBiotechnology and Biological Sciences Research Council (BBSRC)BB/S507453/1Supplementary DataQA76EDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield ForecastingJournal article10.3390/s2221812422