EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting
- DOI
- 10.3390/s22218124
- Published
- 2022-10-24
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s22218124,
title = {EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting},
author = {George Onoufriou and Marc Hanheide and Georgios Leontidis},
year = {2022},
journal = {Sensors},
doi = {10.3390/s22218124},
url = {https://doi.org/10.3390/s22218124}
}RIS
TY - JOUR TI - EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting AU - George Onoufriou AU - Marc Hanheide AU - Georgios Leontidis PY - 2022 JO - Sensors DO - 10.3390/s22218124 UR - https://doi.org/10.3390/s22218124 ER -
APA
Onoufriou, G., Hanheide, M., & Leontidis, G. (2022). EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting. Sensors. https://doi.org/10.3390/s22218124
Source records
- crossref · retrieved 2026-09-24T21:48:07.154Z