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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2022-01-20
(Primary: On-site, Secondary: Online)
[Short Paper] Evaluation of Few Round Training with Distillation-Based Semi-Supervised Federated Learning
Yuki Yoshida (Tokyo Tech), Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Tokyo Tech) SeMI2021-65
This paper studies how to reduce the number of rounds in model training using Distillation-based Semi-supervised federat... [more] SeMI2021-65
SeMI 2022-01-20
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Joint Control of Machine Learning Model and Wireless LAN Parameters in Split inference by Reinforcement Learning
Kojin Yorita (Tokyo Tech.), Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Tokyo Tech.), Daiki Yoda, Toshihisa Nabetani (Toshiba) SeMI2021-66
 [more] SeMI2021-66
SeMI 2022-01-20
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Beamforming Feedback-based Model-driven Angle of Departure Estimation
Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SeMI2021-68
This paper introduces the angle of departure (AoD) estimation method [1] using the multiple signal classification (MUSIC... [more] SeMI2021-68
SeMI 2022-01-21
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Computer Vision-aided Single-antenna and Single-anchor RSSI Localization Considering Movable Obstructions
Tomoya Sunami, Sohei Itahara (Kyoto Univ.), Yusuke Koda (Oulu Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SeMI2021-75
This paper shows the feasibility of single-antenna and single-RF (radio frequency)-anchor received power strength indica... [more] SeMI2021-75
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
Ryosuke Hanahara, Sohei Itahara, Kota Yamashita (Kyoto Univ.), Yusuke Koda (Univ. Oulu), Akihito Taya (Kyoto Univ./Aoyama Gakuin Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SRW2021-48 SeMI2021-47 CNR2021-22
This paper presents an estimation method of channel state information (CSI) matrices using corresponding beamforming fee... [more] SRW2021-48 SeMI2021-47 CNR2021-22
pp.71-73(SRW), pp.58-60(SeMI), pp.48-50(CNR)
SeMI 2021-01-20
Online Online A Study of Online Training Method for Image-based Wireless Link Quality Prediction
Sohei Itahara (Kyoto Univ), Takayuki Nishio (Tokyo Tech), Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SeMI2020-44
Machine-learning-based prediction of future wireless link quality is an emerging technique that can potentially improve ... [more] SeMI2020-44
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] A Study for Knowlage Distillation Based Semi-Supervised Federated Learning with Low Communication Cost
Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ)
Federated Learning is a decentralized learning mechanism, which enables to train machine learning (ML) model using the r... [more]
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