Research on multi-party security collaborative linear regression for computing power networks
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 op-portunities 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 mul-tiple users to achieve secure joint training in a computing power network using sensitive data to build a linear regres-sion model. The scheme adopts low-cost blinding method and homomorphic encryption technology to encrypt user sensitive data to protect the security of sensitive data.
linear regressioncollaborative computingdata security
万方数据
维普
