Research on multi-party security collaborative linear regression for computing power networks

Abstract

With the rapid development of science and technology, machine learning has become a key factor driving the progress of enterprises. However, for small and medium-sized enterprises, the amount of data and computing power often become obstacles to apply machine learning. The rise of computing power networks has brought new opportunities for enterprises, accompanied by new challenges such as data security. A linear regression scheme for multi-user security collaborative computing based on computing power networks was proposed. The scheme allowed multiple users to achieve secure joint training in a computing power network using sensitive data to build a linear regression model. The scheme adopts low-cost blinding method and homomorphic encryption technology to encrypt user sensitive data to protect the security of sensitive data.

Keywords

• linear regression;collaborative computing;data security