Fully Homomorphically Encrypted Deep Learning as a Service

Fully Homomorphically Encrypted Deep Learning as a Service

Fully Homomorphic Encryption (FHE) is a relatively recent advancement in the field of privacy-preserving technologies. FHE allows for the arbitrary depth computation of both addition and multiplication, and thus the application of abelian/polynomial equations, like those found in deep learning algor...

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Bibliographic Details
Main Authors: George Onoufriou, Paul Mayfield, Georgios Leontidis
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Machine Learning and Knowledge Extraction
Subjects:
deep learning
fully homomorphic encryption
convolutional neural network
privacy-preserving technologies
agri-food
data sharing
Online Access:https://www.mdpi.com/2504-4990/3/4/41

Internet

https://www.mdpi.com/2504-4990/3/4/41

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