Tools for Privacy Preserving Distributed Data Mining
This paper presents some early steps toward building such a toolkit. In Section 2 we describe several privacy-preserving computations. Section 3 shows several instances of how these can be used to solve privacy-preserving distributed data mining problems. We will also present promising fu- ture directions: tools that are needed, problems to be solved, and how to take this from research into development. First, though, we will discuss a formalism that enables us to cap- ture and analyze what is meant by privacy-preserving dis- tributed data mining.
