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...

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Bibliographic Details
Main Authors: Guowei Qiu, Xiaolin Gui, Yingliang Zhao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9110896/