Homomorphic Model Selection for Data Analysis in an Encrypted Domain

Homomorphic Model Selection for Data Analysis in an Encrypted Domain

Secure computation, a methodology of computing on encrypted data, has become a key factor in machine learning. Homomorphic encryption (HE) enables computation on encrypted data without leaking any information to untrusted servers. In machine learning, the model selection method is a crucial algorith...

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Bibliographic Details
Main Authors: Mi Yeon Hong, Joon Soo Yoo, Ji Won Yoon
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
fully homomorphic encryption
bitwise operation
model selection
cross validation
evidence approximation
gauss-jordan elimination
Online Access:https://www.mdpi.com/2076-3417/10/18/6174

Internet

https://www.mdpi.com/2076-3417/10/18/6174

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