Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization - researchr publication authors

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Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi. Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. In Robert J. Durrant, Kee-Eung Kim, editors, Proceedings of The 8th Asian Conference on Machine Learning, ACML 2016, Hamilton, New Zealand, November 16-18, 2016. Volume 63 of JMLR Workshop and Conference Proceedings, pages 126-141, JMLR.org, 2016. [doi]

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