Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IN, IA (Joint) |
2024-12-20 10:05 |
Hyogo |
KIITO (Hyogo) |
Improving QoS in Failure Scenarios: Measurement System for Backup Path Yoshihiko Ito, Jin Nakazato (UT), Ryusei Shiiba (SOKENDAI), Kensuke Fukuda (SOKENDAI, NII), Hiroshi Esaki, Hideya Ochiai (UT) IA2024-55 |
With the expansion of network services, the demand for network quality has increased. Fast Reroute (FaRe) is one method ... [more] |
IA2024-55 pp.16-23 |
RCS |
2024-06-19 11:50 |
Okinawa |
(Okinawa, Online) (Primary: On-site, Secondary: Online) |
Environment-Specific Beam Search Using Machine Learning for Cooperative Automated Driving Ryo Iwaki, Jin Nakazato (UT), Kazuki Maruta (TUS), Manabu Tsukada, Hideya Ochiai, Hiroshi Esaki (UT) RCS2024-38 |
Millimeter wave (mmWave), which was first introduced as a mobile communication starting with 5G, has been introduced in ... [more] |
RCS2024-38 pp.58-63 |
AP, RCS (Joint) |
2023-11-15 15:35 |
Kumamoto |
Kumamoto Prefectural Workers' Welfare Hall (Kumamoto, Online) (Primary: On-site, Secondary: Online) |
Adaptive Fast Beam Tracking Algorithm for Various Road Environment Ryo Iwaki, Jin Nakazato (UTokyo), Sojin Ozawa, Kazuki Maruta (TUS), Muhammad Asad, Ehsan Javanmardi, Manabu Tsukada, Hideya Ochiai, Hiroshi Esaki (UTokyo) RCS2023-160 |
The commercialization of 5G has been initiated for a while. Furthermore, millimeter wave (mmWave) has been introduced to... [more] |
RCS2023-160 pp.45-50 |
SR |
2023-05-12 13:05 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Wireless Ad Hoc Federated Learning
-- Toward A Fully Autonomous and Decentralized Federated Learning -- Hideya Ochiai (UT) SR2023-19 |
Wireless Ad Hoc Federated Learning (WAFL) fully decentralizes Federated Learning (FL) which is implemented on a client-s... [more] |
SR2023-19 p.90 |
RCS, NS (Joint) |
2022-12-16 13:35 |
Aichi |
Nagoya Institute of Technology, and Online (Aichi, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Wireless Ad Hoc Federated Learning
-- A Fully Distributed Cooperative Machine Learning -- Hideya Ochiai (UT) NS2022-145 RCS2022-203 |
Federated Learning (FL) is a feature topic in the era of privacy awareness that allows machine learning without collecti... [more] |
NS2022-145 RCS2022-203 p.83(NS), p.94(RCS) |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 09:50 |
Kochi |
(Kochi, Online) (Primary: On-site, Secondary: Online) |
A learning network for combing distributed neural modules Kengo Suzuki, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-48 MSS2022-31 |
[more] |
CAS2022-48 MSS2022-31 pp.55-58 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 10:10 |
Kochi |
(Kochi, Online) (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 10:30 |
Kochi |
(Kochi, Online) (Primary: On-site, Secondary: Online) |
Topology analysis in the P2P Federated Learning Yoshihiko Ito, Hideya Ochiai, Hiroshi Esaki (Univ, Tokyo) CAS2022-50 MSS2022-33 |
P2P Federated Learning is a method of distributed machine learning and the cost of model trading becomes too huge in a l... [more] |
CAS2022-50 MSS2022-33 pp.63-66 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 13:05 |
Kochi |
(Kochi, Online) (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 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 13:25 |
Kochi |
(Kochi, Online) (Primary: On-site, Secondary: Online) |
An ML-Model Transfer Algorithm with Forward Error Correction for Wireless Ad Hoc Federated Learning Kentaro Nagaya, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-52 MSS2022-35 |
Most studies of Wireless Ad-Hoc Federated Learning(WAFL) are done in simulations, and few have focused on its feasibilit... [more] |
CAS2022-52 MSS2022-35 pp.71-74 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 13:45 |
Kochi |
(Kochi, Online) (Primary: On-site, Secondary: Online) |
Propagation of the Impact of Model Poisoning Attack on Wireless Ad Hoc Federated Learning Naoya Tezuka, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-53 MSS2022-36 |
[more] |
CAS2022-53 MSS2022-36 pp.75-78 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 14:05 |
Kochi |
(Kochi, Online) (Primary: On-site, Secondary: Online) |
Unsupervised Representation Learning over Decentralized Federated Learning Haruki Sakurai, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-54 MSS2022-37 |
Contrastive Learning is a form of self-supervised learning, a method for learning a general-purpose encoder using a larg... [more] |
CAS2022-54 MSS2022-37 pp.79-82 |
ICSS |
2021-11-29 15:25 |
Kochi |
KOCHIJYO HALL (Kochi, Online) (Primary: On-site, Secondary: Online) |
Masquerade Detection using command log of Honeypot Ryusei Higuchi, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2021-51 |
A masquerade attack is an attack in which an attacker impersonates a legitimate user and invades the system. In order to... [more] |
ICSS2021-51 pp.31-36 |
ICSS |
2021-11-29 15:50 |
Kochi |
KOCHIJYO HALL (Kochi, Online) (Primary: On-site, Secondary: Online) |
A SDN-based Honeypot System: Attracting Suspicious Traffic in Local Area Networks Koki Ito, Hideya Ochiai, Esaki Hiroshi (The Univ. of Tokyo) ICSS2021-52 |
With the increasing informatization of society, attacks via networks are increasing and diversifying, and the need for s... [more] |
ICSS2021-52 pp.37-42 |
ICSS |
2021-11-29 16:15 |
Kochi |
KOCHIJYO HALL (Kochi, Online) (Primary: On-site, Secondary: Online) |
Automating the collection of malware behavior captured by honeypots Eisuke Tomiyama, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2021-53 |
A honeypot is a system that exposes vulnerable systems to cyber attacks on the Internet. They are used to analyze the at... [more] |
ICSS2021-53 pp.43-48 |
ICSS |
2021-11-30 10:20 |
Kochi |
KOCHIJYO HALL (Kochi, Online) (Primary: On-site, Secondary: Online) |
Monitoring IPv6 packets by dynamic routing in a LAN configured with IPv4 Yuki Yagi, Hideya Ochiai, Hiroshi Esaki (the Univ. of Tokyo) ICSS2021-56 |
With IPv4 address exhaustion, the transition to IPv6 has been progressing in recent years, but the security measures for... [more] |
ICSS2021-56 pp.61-66 |
ICSS |
2021-11-30 10:45 |
Kochi |
KOCHIJYO HALL (Kochi, Online) (Primary: On-site, Secondary: Online) |
Detection of spoofing attacks in RS-485/Modbus communication by non-contact current measurement Tatsuya Arisawa, Hideya Ochiai, Hiroshi Esaki (Tokyo Univ.) ICSS2021-57 |
[more] |
ICSS2021-57 pp.67-72 |
MSS, CAS, IPSJ-AL [detail] |
2021-11-18 09:00 |
Online |
Online (Online) |
Design and Implementation of a Distributed Building Control Simulator for Federated Learning Shugo Fujimura, Koki Fujita, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo) CAS2021-37 MSS2021-17 |
Toward a sustainable society in the 2050s, zero-energy buildings have been proposed, which consume virtually no energy b... [more] |
CAS2021-37 MSS2021-17 pp.1-6 |
MSS, CAS, IPSJ-AL [detail] |
2021-11-18 09:25 |
Online |
Online (Online) |
A Proposal of the Control Method for Multiple Buildings with AI Techiques Koki Fujita, Shugo Fujimura, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo) CAS2021-38 MSS2021-18 |
In recent years, the use of AI techniques for controlling building facilities has begun to be proposed. In the future, b... [more] |
CAS2021-38 MSS2021-18 pp.7-12 |
IA |
2020-11-09 14:35 |
Hokkaido |
(Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Reduction of DNS queries using intelligent caching system Tatsuya Masamune, Hideya Ochiai, Hiroshi Esaki (The Univ. of Tokyo) IA2020-18 |
Page loading time of websites is one of the dominant criteria for the UX (user experience) during web browsing. In this ... [more] |
IA2020-18 pp.1-6 |