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Committee Date Time Place Paper Title / Authors Abstract Paper #
RISING
(3rd)		 2023-10-31
14:00		 Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Implementation and Evaluation of Split Computing as a Distributed Machine Learning Inference
Kojin Yorita, Shoki Ohta, Kota Maejima, Kanare Kodera, Yutaro Horikawa, Takayuki Nishio (Tokyo Tech), Kozo Fukui (AceCode) 		Split Computing (SC) is an advanced technology designed to facilitate sophisticated machine learning inference using dee... [more]
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-19
09:45		 Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)		 Experimental evaluation of Split computing using actual device
Kojin Yorita, Shoki Ohta, Kota Maejima, Kanare Kodera, Yutaro Horikawa, Takayuki Nishio (Tokyo Tech), Kozo Fukui (AceCode) SeMI2023-12		 Machine learning (ML) inference using Deep Neural Network (DNN) with a technique called Split Computing (SC) has attract... [more] SeMI2023-12
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