Privacy-preserving linear programming

O. L. Mangasarian1,2
1Computer Sciences Department, University of Wisconsin, Madison, USA
2Department of Mathematics, University of California at San Diego, La Jolla, USA

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Tài liệu tham khảo

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Mangasarian, O.L., Wild, E.W.: Privacy-preserving classification of horizontally partitioned data via random kernels. Technical Report 07-03, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, WI, November 2007. In: Stahlbock, R., Crone, S.V., Lessman, S. (eds.) Proceedings of the 2008 International Conference on Data Mining, vol. II, pp. 473–479. DMIN08, Las Vegas (2008)

Mangasarian, O.L., Wild, E.W.: Privacy-preserving random kernel classification of checkerboard partitioned data. Technical Report 08-02, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, WI, September 2008. In: Annals of Information Systems XIII, pp. 375–387 (2010)

Mangasarian, O.L., Wild, E.W., Fung, G.M.: Privacy-preserving classification of vertically partitioned data via random kernels. Technical Report 07-02, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, WI, September 2007. In: ACM Transactions on Knowledge Discovery from Data (TKDD) vol. 2, Issue 3, October 2008

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