Abstract. In a distributed system, dynamically dividing execution between nodes is essential for service robustness. However, when all of the nodes cannot be equally trusted, and w...
We present an efficient protocol for the privacy-preserving, distributed learning of decision-tree classifiers. Our protocol allows a user to construct a classifier on a database h...
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...