Privacy-Preserving Linear Regression on Distributed Data by Homomorphic Encryption and Data Masking
Linear regression is a basic method that models the relationship between an outcome value and some explanatory values using a linear function. Traditionally, this method is conducted on a clear dataset provided by one data owner. However, in today's ever-increasingly digital world, the data for...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9110896/ |