1.Analog Q-learning Methods for Secure Multiparty Computation

作　　者：Hirofumi Miyajima ;Noritaka Shigei ;Hiromi Miyajima 等

出　　处：IAENG International Journal of Computer Science. 2018 ;45(4):623-629.

出版社：IAENG - International Association of Engineers

文章 ID：243027867

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2.Fast and Secure Edge-computing Algorithms for Classification Problems

作　　者：Hirofumi Miyajima ;Hiromi Miyajima ;Norio Shiratori

出　　处：IAENG International Journal of Computer Science. 2019 ;46(4):512-517.

出版社：IAENG - International Association of Engineers

文章 ID：243027923

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3.Fuzzy Modeling using Vector Quantization with Supervised Learning

作　　者：Hirofumi Miyajima ;Noritaka Shigei ;Hiromi Miyajima

出　　处：Lecture Notes in Engineering and Computer Science. 2018 ;2233&2234:17-22.

出版社：Newswood and International Association of Engineers

文章 ID：243042588

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4.Privacy Preserving Q-learning in the Analog Model for Secure Multiparty Computation

作　　者：Hirofumi Miyajima ;Noritaka Shigei ;Hiromi Miyajima 等

出　　处：Lecture Notes in Engineering and Computer Science. 2018 ;2233&2234:374-379.

出版社：Newswood and International Association of Engineers

文章 ID：243042654

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5.Proposal of Fast and Secure Clustering Methods for IoT

作　　者：Hirofumi Miyajima ;Hiromi Miyajima ;Norio Shiratori

出　　处：Lecture Notes in Engineering and Computer Science. 2019 ;2239:1-6.

出版社：Newswood and International Association of Engineers

文章 ID：243043050

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6.Analog Q-learning Methods for Secure Multiparty Computation

作　　者：Hirofumi Miyajima ;Noritaka Shigei ;Hiromi Miyajima 等

出　　处：IAENG International Journal of Computer Science. 2018 ;45(4):623-629.

出版社：IAENG - International Association of Engineers

文章 ID：243730198

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7.Fast and Secure Edge-computing Algorithms for Classification Problems

作　　者：Hirofumi Miyajima ;Hiromi Miyajima ;Norio Shiratori

出　　处：IAENG International Journal of Computer Science. 2019 ;46(4):512-517.

出版社：IAENG - International Association of Engineers

文章 ID：243730254

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8.Fuzzy Modeling using Vector Quantization with Supervised Learning

作　　者：Hirofumi Miyajima ;Noritaka Shigei ;Hiromi Miyajima

出　　处：Lecture Notes in Engineering and Computer Science. 2018 ;2233&2234:17-22.

出版社：Newswood and International Association of Engineers

文章 ID：243753863

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9.Privacy Preserving Q-learning in the Analog Model for Secure Multiparty Computation

作　　者：Hirofumi Miyajima ;Noritaka Shigei ;Hiromi Miyajima 等

出　　处：Lecture Notes in Engineering and Computer Science. 2018 ;2233&2234:374-379.

出版社：Newswood and International Association of Engineers

文章 ID：243753929

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10.Proposal of Fast and Secure Clustering Methods for IoT

作　　者：Hirofumi Miyajima ;Hiromi Miyajima ;Norio Shiratori

出　　处：Lecture Notes in Engineering and Computer Science. 2019 ;2239:1-6.

出版社：Newswood and International Association of Engineers

文章 ID：243754325

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