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Fast and Secure Back-Propagation Learning Using Vertically Partitioned Data with IoT.

, , and . CANDAR Workshops, page 450-454. IEEE, (2019)

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A proposal of SIRMs model with linear transformation of input variables., , and . SCIS&ISIS, page 311-316. IEEE, (2014)SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation., , and . IWANN (1), volume 9094 of Lecture Notes in Computer Science, page 561-575. Springer, (2015)Personal Identification by Learning-Based Integration of Facial and Clothes Similarities., , , and . GCCE, page 307-308. IEEE, (2020)Bio-information inference platform using underwear-type wearable device., , , , , and . ICCE-Berlin, page 3-4. IEEE, (2017)Fast and Secure Back-Propagation Learning Using Vertically Partitioned Data with IoT., , and . CANDAR Workshops, page 450-454. IEEE, (2019)New privacy preserving clustering methods for secure multiparty computation., , , , , and . Artif. Intell. Res., 6 (1): 27-36 (2017)A proposal of privacy preserving reinforcement learning for secure multiparty computation., , , , , , and . Artif. Intell. Res., 6 (2): 57-68 (2017)Performance Comparison of Hybrid Electromagnetism-Like Mechanism Algorithms with Descent Method., , and . J. Artif. Intell. Soft Comput. Res., 5 (4): 271 (2015)The Ability of Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization., , and . ICONIP (4), volume 9950 of Lecture Notes in Computer Science, page 479-488. (2016)Proposal of security preserving machine learning of IoT., , and . Artif. Intell. Res., 7 (2): 26- (2018)