Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, SRW (Joint) |
2024-03-13 11:30 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
[Technology Exhibit]
Technology Exhibit Terminal Computing Technologies Required to Realize the Edge-Centric Digital Twin
-- Cyber Brain Module -- Hiroshi Miyata (TAN), Kazutami Arimoto (Okayama Prf. Univ.), Atsushi Hayami, Hisayoshi Mizuno (TAN), Tomoyuki Yokogawa (Okayama Prf. Univ.) RCS2023-253 |
After 5G, the realization of the edge digital twin, which integrates sensor data from edge terminals, has become a reali... [more] |
RCS2023-253 pp.17-22 |
NS, IN (Joint) |
2024-03-01 09:20 |
Okinawa |
Okinawa Convention Center |
Asynchronous UDP Random Walk method with path reuse for geo-distributed graph analysis Shun Takizawa, Tsuyoshi Yamashita, Kunitake Kaneko (Keio Univ.) IN2023-88 |
Random Walk (RW) is widely used in graph analysis. Graph data for analysis has been getting larger and larger in recent ... [more] |
IN2023-88 pp.136-141 |
NS, IN (Joint) |
2024-03-01 09:20 |
Okinawa |
Okinawa Convention Center |
Computing Node Selection Method for Sensing Data Analysis in End-Cloud Environments Tatsuya Ueda, Daishi Kondo, Yosuke Tanigawa, Hideki Tode (Osaka Metropolitan Univ.) NS2023-214 |
Technology such as volunteer computing, which exploits computing resources of nodes in the neighborhood of people, has b... [more] |
NS2023-214 pp.246-252 |
NS, IN (Joint) |
2024-03-01 14:50 |
Okinawa |
Okinawa Convention Center |
Real space sharing processing multihop networks Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII), Toshiaki Tsujii (OMU) NS2023-224 |
ICT is already widely prevalent. Along with it, processors, memories and other computational resources exist everywhere ... [more] |
NS2023-224 pp.306-311 |
VLD, HWS, ICD |
2024-02-29 11:40 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A Study of Edge AI & Distributed DB Computing Architecture for Edge-Centric Digital Twin Hiroshi Miyata (TAN), Kazutami Arimoto (Okayama Pref. Univ.), Atsushi Hayami, Hisayoshi Mizuno (TAN), Tomoyuki Yokogawa (Okayama Pref. Univ.) VLD2023-111 HWS2023-71 ICD2023-100 |
After 5G, the realization of the edge digital twin, which integrates sensor data from edge terminals, has become a reali... [more] |
VLD2023-111 HWS2023-71 ICD2023-100 pp.72-76 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 14:45 |
Hokkaido |
Hokkaido Univ. |
Internet of Federated Digital Twin to Support Cooperative Use of Distributed Computing Resources Masaru Takenaka, Hiroki Matsuo, Tao Yu, Kei Sakaguchi (Tokyo Tech) ITS2023-56 IE2023-45 |
Currently, digital twins, which reproduce data collected from real space in cyber space as if they are twins, are being ... [more] |
ITS2023-56 IE2023-45 pp.56-61 |
OCS, CS (Joint) |
2024-01-11 16:25 |
Kagoshima |
|
[Special Invited Talk]
Vision for Quantum Computer Network System Shota Nagayama (Keio Univ./Mercari) CS2023-97 OCS2023-61 |
Quantum communication is a new paradigm for transmitting quantum information. Photons, which are capable of carrying qua... [more] |
CS2023-97 OCS2023-61 pp.14-19(CS), pp.20-25(OCS) |
COMP |
2023-12-22 11:25 |
Miyazaki |
Miyazaki Univ. Machinaka Campus |
[Invited Talk]
Fast Algorithms for Maximum Matching Problem Yutaro Yamaguchi (Osaka Univ.) COMP2023-19 |
Initiated by Edmonds' blossom algorithm (1965), a variety of algorithms for finding a maximum matching in general graphs... [more] |
COMP2023-19 p.20 |
QIT (2nd) |
2023-12-18 16:05 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Multiplexed Inter-node Communication in Distributed Quantum Computing Soshun Naito (Univ. of Tokyo), Yasunari Suzuki, Yuuki Tokunaga (NTT) |
In fault-tolerant quantum computing, a large number of physical qubits are required to construct a single logical qubit,... [more] |
|
QIT (2nd) |
2023-12-17 17:30 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Virtual entanglement distillation with virtual quantum error detection Kaoru Yamamoto, Yasunari Suzuki (NTT), Yuichiro Matsuzaki (Chuo Univ.), Yuuki Tokunaga, Suguru Endo (NTT) |
A promising approach for scalable quantum computing involves distributed
quantum computation, where small-scale remote ... [more] |
|
CPSY, IPSJ-ARC, IPSJ-HPC |
2023-12-05 10:55 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Performance improvements of Multi-Platform Parallel Computing System Based on Web Technologies Soki Imaizumi, Kanemitsu Ootsu, Takashi Yokota (Utsunomiya Univ.) CPSY2023-27 |
Web browsers can be used as architecture-independent execution environments, and nowadays they can provide the same func... [more] |
CPSY2023-27 pp.1-6 |
RISING (3rd) |
2023-10-31 13:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Proposal for a Distributed Metaverse Domain Allocation Considering Digital Twin Takahiro Shinya, Takuji Tachibana (Univ. Fukui) |
For constructing and utilization large-scale virtual spaces, including digital twins (DTs), it is expected to build a di... [more] |
|
RCC, ISEC, IT, WBS |
2023-03-15 10:20 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Efficient composition of encoding polynomial in distributed coded computing scheme Daisuke Hibino, Tomoharu Shibuya (Sophia Univ.) IT2022-119 ISEC2022-98 WBS2022-116 RCC2022-116 |
Distributed computing is one of the powerful solutions for computational tasks that need the massive size of dataset. La... [more] |
IT2022-119 ISEC2022-98 WBS2022-116 RCC2022-116 pp.325-330 |
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 |
NS, ICM, CQ, NV (Joint) |
2022-11-24 15:45 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
A Study on Distributed Machine Learning with Rich Devices Feedbacking Results to Edge Servers Saki Takano (Ochanomizu Univ.), Akihiro Nakao (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2022-111 |
Many recent studies have focused on using the data collected by edge devices for machine learning by aggregating those d... [more] |
NS2022-111 pp.65-70 |
NS, IN, CS, NV (Joint) |
2022-09-02 14:10 |
Iwate |
MALIOS (Iwate Prefecture) + Online Meeting (Primary: On-site, Secondary: Online) |
A Proposal of Selecting Computing Nodes for End Cloud Networking Environments Tatsuya Ueda, Daishi Kondo, Yosuke Tanigawa, Hideki Tode (Osaka Metropolitan Univ.) NS2022-73 |
Technology such as volunteer computing, which uses computing resources of nodes in the neighborhood of people, has been ... [more] |
NS2022-73 pp.70-75 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 11:20 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Study of Quantum Computing-based Cluster-Layering Method in Distributed Antenna Networks Keishi Hanakago, Ryo Takahashi, Takahiro Ohyama (PSNRD), Fumiyuki Adachi (Tohoku Univ.) RCS2022-82 |
In distributed antenna networks, where a large number of antennas are deployed in a communication service area, distribu... [more] |
RCS2022-82 pp.66-71 |
IN, RCS, NV (Joint) |
2022-05-26 15:45 |
Kanagawa |
Keio University (Hiyoshi Campus) (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab) Tad Matsumoto (IMT-Atlantique, Brest, France/Professor Emeritus, JAIST), Elsa Dupraz (IMT-Atlantique, Brest, France) RCS2022-18 |
Network Information Theory is an extension of Shannon’s Information Theory to Networks. We believe that the key to the s... [more] |
RCS2022-18 pp.26-27 |
NS, IN (Joint) |
2022-03-10 11:00 |
Online |
Online |
Experimental Evaluation of Influence of Distributing Deep Learning-Based IDSs on Their Classification Accuracy and Explainability Ayaka Oki, Yukio Ogawa, Kaoru Ota, Mianxiong Dong (Muroran-IT) IN2021-33 |
Increased data traffic associated with the wide spread usage of IoT devices accentuates the risk of large-scale cyber at... [more] |
IN2021-33 pp.13-18 |
VLD, HWS [detail] |
2022-03-07 13:40 |
Online |
Online |
[Memorial Lecture]
DistriHD: A Memory Efficient Distributed Binary Hyperdimensional Computing Architecture for Image Classification Dehua Liang, Jun Shiomi, Noriyuki Miura (Osaka Univ.), Hiromitsu Awano (Kyoto Univ.) VLD2021-84 HWS2021-61 |
Hyper-Dimensional (HD) computing is a brain-inspired learning approach for efficient and fast learning on today’s embedd... [more] |
VLD2021-84 HWS2021-61 p.44 |