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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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, and 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 |
| PN | 2022-03-02 11:00 |
Online | Online | Expected Effective Rate Guaranteed Distributed Processing Allocation Method Based on Resource Availability for Real-Time Video Processing Koki Muramatsu, Masaki Murakami, Yoshihiko Uematsu, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2021-73 |
Our laboratory is working on the implementation of AMec (Access Metro Edge Computing), an edge computing technology that... [more] | PN2021-73 pp.110-116 |
| RCS, NS (Joint) |
2021-12-17 11:25 |
Nara | Nara-ken Bunka Kaikan and Online (Primary: On-site, Secondary: Online) |
A Study on User Scheduling for Overloaded Environment in Distributed Antenna Network Using Quantum Computing Keishi Hanakago, Ryo Takahashi, Takahiro Ohyama (PSNRD), Fumiyuki Adachi (Tohoku Univ.) RCS2021-189 |
In a distributed antenna network, a large number of antennas are distributed over a base station coverage area (cell). H... [more] | RCS2021-189 pp.75-80 |
| COMP | 2021-12-03 14:50 |
Ishikawa | Kanazawa Chamber of Commerce and Industry (Primary: On-site, Secondary: Online) |
On a Self-Stabilizing Algorithm for k-Flag Problem with Crash Failures Yuta Yokoyama, Yonghwan Kim, Yoshiaki Katayama (Nitech) COMP2021-27 |
In developmental biology, the French Flag model is used as a cell positioning model for regeneration of defective cells.... [more] | COMP2021-27 pp.30-37 |
| NS | 2021-10-08 09:15 |
Online | Online | A study of privacy-preserving distributed machine learning using Rich Clients Saki Takano (Ochanomizu Univ.), Akihiro Nakao (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2021-76 |
In recent years, edge computing has attracted much attention because of its advantages such as low latency and the abili... [more] | NS2021-76 pp.45-50 |
| SWIM, SC | 2021-08-27 15:05 |
Online | Online | Design and implementation of a programming model for distributed sharing function as a service Takao Nakaguchi (KCGI) SWIM2021-23 SC2021-21 |
To develop real-time collaboration tools, the drawing canvas, 3D objects or other elements on the screen must be designe... [more] | SWIM2021-23 SC2021-21 pp.64-68 |
| COMP, IPSJ-AL | 2021-08-25 11:00 |
Online | Online | Lower Bounds for Induced Cycle Detection in Distributed Computing Francois Le Gall, Masayuki Miyamoto (Nagoya Univ.) COMP2021-9 |
The distributed subgraph detection asks, for a fixed graph $H$, whether the $n$-node input graph contains $H$ as a subgr... [more] | COMP2021-9 pp.1-8 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 09:00 |
Online | Online | A Study on Inter-Cluster Interference Coordination for Distributed Antenna Network Using Quantum Computing Keishi Hanakago, Ryo Takahashi, Takahiro Ohyama (PSNRD), Fumiyuki Adachi (Tohoku Univ.) RCS2021-77 |
In a large-scale distributed antenna network, where a large number of antennas are deployed over a base station coverage... [more] | RCS2021-77 pp.1-6 |
| NLP, MSS (Joint) |
2021-03-15 13:00 |
Online | Online | Proposal of Novel Distributed Learning Algorithms for Multi-Neural Networks Kazuaki Harada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-58 |
A method for multiple neural networks (NNs) with the same structure to learn multiple sets of training data collected at... [more] | NLP2020-58 pp.17-22 |
| COMP | 2021-03-08 10:45 |
Online | Online | Team Assembling Problem by Kilobots Tang Run, Yamauchi Yukiko (Kyushu Univ.), Sebastien Tixeuil (Sorbonne Univ.) COMP2020-30 |
We consider the team assembling problem for a swarm of simple robots called Kilobots. The team assembling problem requir... [more] | COMP2020-30 pp.17-23 |
| COMP | 2021-03-08 11:30 |
Online | Online | [Invited Talk]
Tight Distributed Listing of Cliques Keren Censor-Hillel (Technion), Yi-Jun Chang (ETH), François Le Gall (Nagoya Univ.), Dean Leitersdorf (Technion) COMP2020-31 |
Much progress has recently been made in understanding the complexity landscape of subgraph finding problems in the CONGE... [more] | COMP2020-31 p.24 |
| IN, NS (Joint) |
2021-03-04 11:00 |
Online | Online | Application Offloading Mechanism based on Distributed Reinforcement Learning in MEC Environment Soh Takamura, Takao Kondo, Fumio Teraoka (Keio Univ.) IN2020-67 |
This paper proposes a mechanism for determining the offloading strategy of an application running on a User Equipment (U... [more] | IN2020-67 pp.79-84 |
| SIP, IT, RCS | 2021-01-21 13:10 |
Online | Online | A Study on the Joint Source-Channel Coding for Computing Functions
-- An Approach from a Dichotomy of Functions -- Naruki Joki, Shigeaki Kuzuoka (Wakayama Univ.) IT2020-82 SIP2020-60 RCS2020-173 |
In this paper，a problem of joint source-channel coding for computing functions of outputs from correlated sources is stu... [more] | IT2020-82 SIP2020-60 RCS2020-173 pp.101-106 |
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