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Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2020-01-31
10:00		 Kagawa   [Poster Presentation] Experimental Evaluation of Federated Learning in Real Networks
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) SeMI2019-110		 Federated Learning (FL) is a decentralized learning mechanism, which enables to train machine learning (ML) models using... [more] SeMI2019-110
pp.49-50
RCS 2019-06-19
15:15		 Okinawa Miyakojima Hirara Port Terminal Building A Study for Improving Prediction Accuracy on Federated Learning with Non-IID Data in Wireless Networks
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.), Ryo Yonetani (OMRON SINIC X Corp.) RCS2019-54		 Federated Learning (FL) is a decentralized learning mechanism, which enables to train machine learning (ML) model using ... [more] RCS2019-54
pp.103-108
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