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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 139  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RISING
(3rd)
2023-10-31
09:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Triadic Split Computing toward Privacy-Conscious Generative AI services
Shoki Ohta, Takayuki Nishio (Tokyo Tech)
With the rapid advancements in big AI models such as text and image generation models, numerous web services have begun ... [more]
RISING
(3rd)
2023-10-31
10:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Study on Beamforming Feedback in Wireless LANs and Singular Value Decomposition
Hiroki Shimomura (Kyoto Univ.), Koji Yamamoto (KIT), Takayuki Nishio (Tokyo Tech.), Akihito Taya (Tokyo Univ.)
We investigated the properties of beamforming feedback (BFF) facilitated by singular value decomposition (SVD) as a step... [more]
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, RCS, RCC, NS, SR
(Joint)
2023-07-13
16:25
Osaka Osaka University Nakanoshima Center + Online
(Primary: On-site, Secondary: Online)
The experimental evaluation of temporal drift in CSI features for Wi-Fi sensing
Keita Kayano, Shoki Ohta, Kanare Kodera, Takayuki Nishio (Tokyo Tech) SeMI2023-35
 [more] SeMI2023-35
pp.63-66
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-18
17:20
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
A heuristic method for optimization of model transfer route in decentralized federated learning
Kota Maejima, Takayuki Nishio, Asato Yamazaki, Yuko Hara-Azumi (Tokyo Tech) SeMI2023-5
Decentralized FL (Decentralized Federated Learning) is a machine learning technique in which clients construct a model c... [more] SeMI2023-5
pp.20-22
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-18
17:35
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Wireless Signal-guided Image Inpainting with Attention Mechanism
Cheng Chen, Shoki Ohta, Takayuki Nishio (Tokyo Tech), Mehdi Bennis (Univ. Oulu), Jihong Park (Deakin Univ.), Mohamed Wahib (RIKEN) SeMI2023-6
This paper proposes a novel image inpainting method that combines channel state information (CSI) and transformer archit... [more] SeMI2023-6
pp.23-25
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-19
09:15
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
An experimental evaluation of millimeter-wave link quality prediction using Wi-Fi CSI and supervised learning
Shoki Ohta, Kanare Kodera, Takayuki Nishio (Tokyo Tech) SeMI2023-10
This study experimentally evaluates our 60 GHz band millimeter-wave (mmWave) link quality prediction method using 5 GHz ... [more] SeMI2023-10
pp.42-45
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
pp.50-52
SR 2023-05-12
14:55
Hokkaido Center of lifelong learning Kiran (Higashi Muroran)
(Primary: On-site, Secondary: Online)
[Invited Talk] An Introduction of Distillation-based Model-Free Federated Learning
Takayuki Nishio (Tokyo Tech) SR2023-21
 [more] SR2023-21
p.92
RCS, SR, SRW
(Joint)
2023-03-03
15:35
Tokyo Tokyo Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Research and Development on Wireless Access Technology Based on Factor Analysis of Communication Quality Using Redundant Information
Koji Yamamoto (Kyoto Univ.), Mai Ohta (Fukuoka Univ.), Kazuto Yano (ATR), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Univ. Tokyo), Makoto Taromaru (Fukuoka Univ.), Babatunde Ojetunde, Keiichiro Mori (ATR) SRW2022-66
In wireless communications, communication quality is observable; in contrast, its degradation factors are generally unob... [more] SRW2022-66
pp.100-105
SeMI, SeMI
(Joint)
2023-01-19
13:50
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of decentralized model training method based on traveling model for P2P Federated Learning
Kota Maejima, Takayuki Nishio, Asato Yamazaki, Yuko Hara (Tokyo Tech) SeMI2022-75
Peer-to-Peer(P2P) Federated Learning is a machine learning method that builds models across clients without sharing trai... [more] SeMI2022-75
pp.23-24
SeMI, SeMI
(Joint)
2023-01-19
14:00
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Model Training Method based on Federated Learning for Distributed Inference with Split Computing
Yutaro Horikawa, Takayuki Nishio (Tokyo Tech) SeMI2022-76
SC (Split computing) is a distributed inference method for load balancing and latency reduction, which splits a neural n... [more] SeMI2022-76
pp.25-27
SeMI, SeMI
(Joint)
2023-01-19
14:10
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Joint Control Method of Wireless LAN and Machine Learning Settings for Communication-efficient Split Computing
Kojin Yorita, Takayuki Nishio (Tokyo Tech), Daiki Yoda, Toshihisa Nabetani (Toshiba) SeMI2022-77
Split computing (SC) enables machine learning (ML) inference with a deep neural network on resource-constrained devices.... [more] SeMI2022-77
pp.28-29
SeMI, SeMI
(Joint)
2023-01-19
15:05
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] An experimental study on the transition of camera-based human localization to CSI sensing
Kanare Kodera, Shoki Ohta, Takayuki Nishio (Tokyo Tech) SeMI2022-81
Wi-Fi sensing, represented by CSI (channel state information) sensing~cite{CSIsurvey}, has attracted much attention. Com... [more] SeMI2022-81
pp.43-48
SeMI, SeMI
(Joint)
2023-01-19
15:25
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] Multimodal Image Inpainting Using Camera Imagery and WiFi RSSI
Cheng Chen, Takayuki Nishio (Tokyo Tech), Mehdi Bennis (Oulu Univ.), Jihong Park (Deakin Univ.) SeMI2022-83
This study demonstrates the feasibility of image inpainting using both visual information and radio frequency (RF) signa... [more] SeMI2022-83
pp.51-53
SeMI, SeMI
(Joint)
2023-01-19
17:25
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] An Empirical Study of Data Reduction Method for Point Cloud-based Millimeter-wave Link Quality Prediction
Shoki Ohta, Takayuki Nishio (Tokyo Tech), Riichi Kudo, Kahoko Takahashi, Hisashi Nagata (NTT) SeMI2022-93
This study experimentally evaluates a tradeoff between prediction accuracy and the number of points on a millimeter-wave... [more] SeMI2022-93
pp.96-100
SeMI, SeMI
(Joint)
2023-01-20
11:25
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] Real-time Human Intrusion Detection with Beamforming Feedback
Sota Kondo, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Univ. Tokyo) SeMI2022-100
This paper introduces a method of human intrusion detection using beamforming feedback (BFF), which is returned from the... [more] SeMI2022-100
pp.134-139
SeMI, SeMI
(Joint)
2023-01-20
11:35
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Beamforming Feedback-based LOS Detection
Hiroki Shimomura, Takamochi Kanda, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Univ. Tokyo) SeMI2022-101
Channel state information (CSI) in wireless local area network (WLAN) has attracted increasing attention for Wi-Fi sensi... [more] SeMI2022-101
pp.140-145
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-15
09:10
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Federated Learning in Wireless Networks
Takayuki Nishio (TokyoTech) RCC2022-31 NS2022-49 RCS2022-92 SR2022-34 SeMI2022-36
Federated Learning is a distributed machine learning method. The most important feature of federated learning is that it... [more] RCC2022-31 NS2022-49 RCS2022-92 SR2022-34 SeMI2022-36
p.63(RCC), p.118(NS), p.125(RCS), p.71(SR), p.80(SeMI)
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-15
11:55
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
Vision-Aided Frame-Capture-Based CSI Recomposition for WiFi Sensing: A Multimodal Approach
Hiroki Shimomura, Takamochi Kanda, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Aoyama Gakuin Univ.) SeMI2022-42
Recompositing channel state information (CSI) from the beamforming feedback matrix (BFM), which is a compressed version ... [more] SeMI2022-42
pp.98-102
 Results 1 - 20 of 139  /  [Next]  
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