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Committee Date Time Place Paper Title / Authors Abstract Paper #
SR, UWT
(Joint)		 2023-01-27
10:55		 Tokyo Takanawa Campus, Tokai Univ.
(Primary: On-site, Secondary: Online)		 A Study on Reinforcement Learning-Based Adaptive Random Walk SGD for Attack-Resilient Decentralized Federated Learning
Masakazu Okamoto (Tokyo Univ. of Science), Koya Sato (UEC), Keiichi Iwamura (Tokyo Univ. of Science) SR2022-76		  [more] SR2022-76
pp.20-27
RCS, SR, NS, SeMI, RCC
(Joint)		 2021-07-16
10:55		 Online Online A Study on Decentralized Machine Learning with Differential Privacy based on Input Perturbation
Masakazu Okamoto, Koya Sato, Keiichi Iwamura (Tokyo Univ. of Science) SR2021-34		 Distributed machine learning eliminates the need for users to disclose their data to the out of the terminal since train... [more] SR2021-34
pp.67-72
MSS, CAS, VLD, SIP 2011-06-30
11:30		 Okinawa Okinawa-Ken-Seinen-Kaikan A Relocation Planning Method for Railway Cars in Final Assembly Shop
Yoichi Nagao, Shinichi Nakano, Akifumi Hoshino, Yasushi Kaneta (KHI), Toshiyuki Kita, Masakazu Okamoto (Kawasaki Technology) CAS2011-8 VLD2011-15 SIP2011-37 MSS2011-8		 The authors have examined a method that makes a movement plan for relocation of the railway cars in preparation for the ... [more] CAS2011-8 VLD2011-15 SIP2011-37 MSS2011-8
pp.43-48
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