Efficient Protocols for Principal Eigenvec- tor Computation over ...

• exposé

TRANSACTIONS ON DATA PRIVACY 4 (2011) 129–146 Efficient Protocols for Principal Eigenvec- tor Computation over Private Data Manas A. Pathak, Bhiksha Raj Carnegie Mellon University, Pittsburgh, PA 15213, USA. E-mail: , Abstract. In this paper we present a protocol for computing the principal eigenvector of a collection of data matrices belonging to multiple semi-honest parties with privacy constraints.

• power iteration method
• data matrix
• transactions on data privacy
• eigenvector computation
• protocol
• algorithm
• vector
• vectors
• data