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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SR | 2025-01-30 15:25 |
Kagawa | Sunport Takamatsu (Kagawa, Online) (Primary: On-site, Secondary: Online) |
[Technology Exhibit]
Experimental Platform for Semantic Image Transmission Based on Deep Joint Source-Channel Coding Katsuya Suto, Yuyan Fu, Koya Sato (UEC), Takayuki Nishio (Science Tokyo), Takumi Kandatsu, Naoto Egashira (MTC) |
(To be available after the conference date) [more] | |
| RISING (3rd) |
2024-11-12 11:15 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
A Study on Spatial Regression Framework with Location-Unknown Sensors for Environmental Monitoring Systems Koki Kanzaki, Koya Sato (UEC) |
Spatial regression analysis with distributed sensors is used in various situations, such as reducing power consumption a... [more] | |
| RCS | 2024-10-18 12:45 |
Tokyo | (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Efficient Wireless System Design Framework via Adaptive Experimental Design Koya Sato, Katsuya Suto (UEC)  RCS2024-146 |
Efficient operation of wireless systems requires meticulous planning of elements such as transmitter placement and trans... [more] | RCS2024-146 p.63 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-17 10:00 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Random Walk SGD for Fault-Tolerance Decentralized Federated Learning Yuta Tomimasu, Koya Sato (UEC) SR2024-22 |
Random walk stochastic gradient descent (RWSGD) is an optimization algorithm for communication-efficient decentralized f... [more] | SR2024-22 pp.1-3 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-17 10:15 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Bayesian Optimization-Based Dynamic Sensor Selection for Efficient Spatio-Temporal Monitoring Systems Taiyo Nakamura, Koya Sato (UEC) SR2024-23 |
Demand for sensing-based spatio-temporal forecasting is increasing. When forecasting large-scale spatio-temporal data, a... [more] | SR2024-23 pp.4-6 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 14:35 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Over-the-Air-Computation-Aided Distributed Principle Component Analysis for Low-Latency Inference over Wireless Networks Yuki Murakami, Kabuto Arai, Koya Sato, Koji Ishibashi (UEC) RCS2024-102 |
This paper proposes a dimensionality reduction method based on distributed principal component analysis (DPCA) to reduce... [more] | RCS2024-102 pp.94-99 |
| SR | 2024-05-21 10:45 |
Kagoshima | Yokacenter (Kagoshima) (Kagoshima, Online, Online, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Low-Complexity Simulation Framework for Large-Scale Channel Knowledge Maps with Spatial Correlation Koya Sato, Katsuya Suto (UEC) SR2024-14 |
Channel knowledge map (CKM) aims to provide channel gain information for any given transmitter-receiver links. When eval... [more] | SR2024-14 pp.61-63 |
| RCS | 2023-10-20 14:35 |
Kagawa | Kagawa University (Saiwai-cho Campus), and online (Kagawa, Online) (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Research Trends of Radio Map Applications for the 6G Era Koya Sato (UEC) RCS2023-147 |
A radio map is a tool for visualizing received signal power values over a spatial domain. Over the last decade, there ha... [more] | RCS2023-147 p.89 |
| SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-12 13:55 |
Osaka | Osaka University Nakanoshima Center + Online (Osaka, Online) (Primary: On-site, Secondary: Online) |
Radio Propagation Graph Representation Learning Katsuya Suto, Shinsuke Bannai, Koya Sato, Takeo Fujii (UEC) SR2023-29 |
In the paper, we propose a novel concept of data-driven radio propagation estimation, referred to as radio propagation g... [more] | SR2023-29 pp.19-24 |
| SR | 2023-05-12 10:25 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
A Study on Adaptive Client/Miner Selection for Fast and Accurate Blockchain-Decentralized Federated Learning Yuta Tomimasu, Koya Sato (UEC) SR2023-17 |
Decentralized federative learning with blockchain is a learning method in which the model in federated learning is manag... [more] | SR2023-17 pp.83-88 |
| SR | 2023-05-12 13:55 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Federated Learning-Inspired Gaussian Process Regression: Low Latency Design and Its Application to Radio Map Construction Koya Sato (UEC) SR2023-20 |
Gaussian process regression (GPR) is a non-parametric method that optimizes regression analysis for Gaussian process dat... [more] | SR2023-20 p.91 |
| RCS, SR, SRW (Joint) |
2023-03-01 13:55 |
Tokyo | Tokyo Institute of Technology, and Online (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Modeling of Geospatial Data for Digital Twin Wireless Systems Koya Sato (UEC) SR2022-83 |
Over the last decade, there has been a wide range of discussions on digital-twin wireless systems. The digital-twin wire... [more] | SR2022-83 p.3 |
| SR, UWT (Joint) |
2023-01-27 10:55 |
Tokyo | Takanawa Campus, Tokai Univ. (Tokyo, Online) (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 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 09:55 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Fukuoka, Online) (Primary: On-site, Secondary: Online) |
Highly Accurate Privacy-Enhanced Federated Learning Using Data On The Server Yuta Kakizaki (TUS), Koya Sato (UEC), Keiichi Iwamura (TUS) NS2022-100 |
Federated learning is a cooperative machine learning approach that prohibits disclosing training data from distributed d... [more] | NS2022-100 pp.1-6 |
| IT, EMM | 2022-05-18 14:20 |
Gifu | Gifu University (Gifu, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Decentralized Federated Learning: Fundamentals, Research Trends and Open Issues in Wireless Channels Koya Sato (UEC) IT2022-14 EMM2022-14 |
The expansion of machine learning applications has raised novel concerns, such as data privacy and communication costs. ... [more] | IT2022-14 EMM2022-14 p.73 |
| SR | 2022-05-13 10:30 |
Tokyo | NICT Koganei (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
On Automated Indoor Wireless Simulation with Image Sensor and 3D Reconstruction Koya Sato (UEC), Norisato Suga (SIT), Yoshihiro Maeda (Tokyo Univ. of Science) SR2022-12 |
[more] | SR2022-12 pp.55-57 |
| RCS, SR, SRW (Joint) |
2022-03-02 13:05 |
Online | Online (Online) | [Invited Lecture]
Radio Map Extrapolation Using Compensated Empirical CDF under Interference-Limited Observations Keita Katagiri, Koya Sato (UEC), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2021-92 |
[more] | SR2021-92 pp.28-35 |
| RCS, SR, SRW (Joint) |
2022-03-04 09:45 |
Online | Online (Online) | [Short Paper]
On Implementation of Radio Propagation Simulator with Open 3D City Models Koya Sato (UEC) SR2021-113 |
In radio propagation simulations, the acquisition of precise information such as structures and topography is a signific... [more] | SR2021-113 pp.121-123 |
| SIP | 2021-08-23 14:50 |
Online | Online (Online) | [Invited Talk]
Visualizing Wireless Environments: An Introduction of Spatial Statistics and Its Extensions to Multi-Dimensional Interpolation Koya Sato (Tokyo Univ. of Science) SIP2021-30 |
The radio map construction has been attracting attention. This technology visualizes the state of the wireless environme... [more] | SIP2021-30 pp.12-17 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 09:25 |
Online | Online (Online) | Improving the Runtime Performance of Decentralized Machine Learning on Wireless Channels via Rate Adaptation Koya Sato (Tokyo Univ. of Science), Daisuke Sugimura (Tsuda Univ.) RCS2021-94 |
This paper presents a communication strategy for improving the runtime of decentralized machine learning over wireless n... [more] | RCS2021-94 pp.80-85 |
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