Dec 8, 2014 · We propose two protocols which can enable secure and efficient outsourcing of linear regression problems to the cloud. The protocols can protect ...

This paper investigates the linear regression outsourcing problem, which is a quite common engineering task and employed in various applications, as a case ...

We propose two protocols which can enable secure and efficient outsourcing of linear regression problems to the cloud. The protocols can protect the client's ...

We propose two protocols which can enable secure and efficient outsourcing of linear regression problems to the cloud. The protocols can protect the client's ...

We propose two protocols which can enable secure and efficient outsourcing of linear regression problems to the cloud. The protocols can protect the client's ...

It enables customers with limited computational resources to outsource large-scale computational tasks to the cloud. Very recently, Chen et al. have proposed ...

Based on a pay-per-use model, a client without enough computational power can easily outsource large-scale computational tasks to a cloud. Nonetheless, the ...

Its computational complexity is almost equal to that of solving a linear regression problem locally. In such case, the client has no necessary to outsource the ...

A novel protocol for securely outsourcing large-scale LR. In our design, a client only utilizes two random vectors to encrypt his/her LR problem and decrypt ...

This paper presents a novel cloud-based machine learning framework centered around a linear regression method known as Cloud Linear Regression (CLR).