Privacy-Preserving Feature Selection with Fully Homomorphic Encryption

For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let <i>D</i>, <i>F</i>, and <i>C</i> be data, feature, and class sets, respectively, where the feature value <inline-formula><math xmlns="http://www.w3.org/1998/...

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Bibliographic Details
Main Authors: Shinji Ono, Jun Takata, Masaharu Kataoka, Tomohiro I, Kilho Shin, Hiroshi Sakamoto
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/15/7/229