Secure Multi-Party linear Regression

Fida Kamal Dankar, Renaud Brien, Carlisle Adams, Stan Matwin
2014 International Conference on Extending Database Technology  
Increasing efficiency in hospitals is of particular importance. Studies that combine data from multiple hospitals/data holders can tremendously improve the statistical outcome and aid in identifying efficiency markers. However, combining data from multiple sources for analysis poses privacy risks. A number of protocols have been proposed in the literature to address the privacy concerns; however they do not fully deliver on either privacy or complexity. In this paper, we present a privacy
more » ... ving linear regression model for the analysis of data coming from several sources. The protocol uses a semi-trusted third party and delivers on privacy and complexity.
dblp:conf/edbt/DankarBAM14 fatcat:l5easb3nxvbvva7rwjaeorlxcy