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Accelerating the Secure Distributed Computation of the Mean by a Chebyshev Expansion

Lory, Peter ; Liedel, Manuel Susilo, Willy ; Mu, Yi ; Seberry, Jennifer , eds.



Abstract

Lindell and Pinkas (2002) have proposed the idea of using the techniques of secure multi-party computations to generate efficient algorithms for privacy preserving data-mining. In this context Kiltz, Leander and Malone-Lee (2005) have presented a protocol for the secure distributed computation of the mean and related statistics in a twoparty setting. Their protocol achieves constant round ...

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