| dc.contributor |
University of Aberdeen.Vice Principals |
|
| dc.contributor |
University of Aberdeen.Computing Science |
|
| dc.contributor |
University of Aberdeen.Computer Science and Informatics |
|
| dc.contributor |
University of Aberdeen.Centre for Energy Transition |
|
| dc.creator |
Onoufriou, Georgios |
|
| dc.creator |
Mayfield, Paul |
|
| dc.creator |
Leontidis, Georgios |
|
| dc.date |
2021-10-13T13:22:01Z |
|
| dc.date |
2021-10-13T13:22:01Z |
|
| dc.date |
2021-12-01 |
|
| dc.date.accessioned |
2022-05-24T06:09:53Z |
|
| dc.date.available |
2022-05-24T06:09:53Z |
|
| dc.identifier |
Onoufriou , 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/make3040041 |
|
| dc.identifier |
2504-4990 |
|
| dc.identifier |
PURE: 201831244 |
|
| dc.identifier |
PURE UUID: fb8539ef-a059-4069-8cf6-f5daf8c0ee14 |
|
| dc.identifier |
ORCID: /0000-0001-6671-5568/work/101749693 |
|
| dc.identifier |
https://hdl.handle.net/2164/17352 |
|
| dc.identifier |
https://doi.org/10.3390/make3040041 |
|
| dc.identifier |
3 |
|
| dc.identifier |
4 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/117869 |
|
| dc.description |
Funding: This research was funded by UKRI-EPSRC grant “The Internet of Food Things” grant number EP/R045127/1. |
|
| dc.description |
Peer reviewed |
|
| dc.description |
Publisher PDF |
|
| dc.format |
16 |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.relation |
Machine Learning and Knowledge Extraction |
|
| dc.rights |
Copyright: © 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/). |
|
| dc.subject |
SDG 2 - Zero Hunger |
|
| dc.subject |
2040 Data and Artificial Intelligence |
|
| dc.subject |
deep learning |
|
| dc.subject |
fully homomorphic encryption |
|
| dc.subject |
convolutional neural network |
|
| dc.subject |
privacy-preserving technologies |
|
| dc.subject |
agri-food |
|
| dc.subject |
data sharing |
|
| dc.subject |
QA75 Electronic computers. Computer science |
|
| dc.subject |
Engineering and Physical Sciences Research Council (EPSRC) |
|
| dc.subject |
EP/R045127/1 |
|
| dc.subject |
QA75 |
|
| dc.title |
Fully Homomorphically Encrypted Deep Learning as a Service |
|
| dc.type |
Journal article |
|