Abstract
In this paper, we study a privacy preserving linear regression analysis. We propose a new protocol of a distributed calculation method that calculates a least squares estimator, in the case that two parties have different types of explanatory variables. We show the security of privacy in the proposed protocol. Because the protocol have iterative calculations, we evaluate the number of iterations via numerical experiments. Finally, we show an extended protocol that is a distributed calculation method for k parties.
| Original language | English |
|---|---|
| Pages (from-to) | 78-88 |
| Number of pages | 11 |
| Journal | Journal of Japan Industrial Management Association |
| Volume | 65 |
| Issue number | 2 |
| Publication status | Published - 2014 |
Keywords
- Distributed computation
- Least-squares method
- Linear regression model
- Privacy-preserving data mining
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics