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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-30 10:45 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa, Ryoma Sato, Han Bao (Kyoto Univ./OIST), Kenta Niwa (NTT CS Lab.), Makoto Yamada (OIST)  NC2023-14 IBISML2023-14 |
Decentralized learning has recently been attracting increasing attention for its applications in parallel computation an... [more] | NC2023-14 IBISML2023-14 pp.83-90 |
| SR | 2023-05-12 10:25 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (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 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 10:10 |
Kochi | (Primary: On-site, Secondary: Online) |
Wide Area Localization Using Autonomous Distributed Cooperative Learning with Wi-Fi Signal Strength Yusuke Sugizaki, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-49 MSS2022-32 |
Although there have been previous studies on localization using Wi-Fi signal information, this study proposes a method u... [more] | CAS2022-49 MSS2022-32 pp.59-62 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 13:05 |
Kochi | (Primary: On-site, Secondary: Online) |
An Analysis of Model Parameters Propagation over Decentralized Federated Learning Koshi Eguchi, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-51 MSS2022-34 |
Although there have been many studies on Decentralized Federated Learning (DFL), few have focused on the propagation of ... [more] | CAS2022-51 MSS2022-34 pp.67-70 |
| IT, EMM | 2022-05-18 14:20 |
Gifu | Gifu University (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 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 09:25 |
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 |
| AI, IPSJ-ICS, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI | 2019-03-09 13:40 |
Hokkaido | Please fill in Takato Yamazaki, Toshiharu Sugawara (Weseda Univ.) AI2018-55 |
Multi-Agent Systems (MAS) enable modeling an environment where multiple agents interfere with each other, and it can be ... [more] | AI2018-55 pp.13-18 |
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| ICSS, IPSJ-SPT | 2019-03-08 14:25 |
Okinawa | NICT Okinawa Electromagnetic Technology Center | Traffic analysis to detect abnormal smartphone application behavior Iifan Tyou, Takahiro Nukushina, Yukio Nagafuchi, Masaki Tanikawa (NTT) ICSS2018-87 |
With the spread of smartphones, its security management has become important. For smartphones, it is also necessary to c... [more] | ICSS2018-87 pp.167-172 |
| CAS, MSS, VLD, SIP | 2010-06-22 13:45 |
Hokkaido | Kitami Institute of Technology | An Optimal Supervisory Control for Decentralized Discrete Event Systems based on Reinforcement Learning Kouji Kajiwara, Tatsushi Yamasaki (Setsunan Univ.) CAS2010-26 VLD2010-36 SIP2010-47 CST2010-26 |
In our previous work, we have proposed a generalized framework of optimal supervisory control based on reinforcement ... [more] |
CAS2010-26 VLD2010-36 SIP2010-47 CST2010-26 pp.145-150 |
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