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/...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/15/7/229 |