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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 202  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2022-01-21
15:20
Nagano
(Primary: On-site, Secondary: Online)
[Short Paper] Asynchronous Gradient-Boosted Decision Trees for Distributed Sensing Devices
Yui Yamashita, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-64
Recently, wearable devices that install multiple sensors have been widely used. Although sensor data from these devices ... [more] SeMI2021-64
pp.45-47
SS, MSS 2022-01-11
16:40
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Study on Stability of Distributed Scheduling Using Alternating Direction Method of Multipliers
Naoki Niiya, Toshiyuki Miyamoto (Osaka Univ.), Daichi Inoue, Toyohiro Umeda (KOBELCO), Shigemasa Takai (Osaka Univ.) MSS2021-42 SS2021-29
In recent years, the development of optimization methods in multi-agent systems has been remarkable. We have proposed a ... [more] MSS2021-42 SS2021-29
pp.64-69
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
RISING
(3rd)
2021-11-17
09:00
Tokyo
(Primary: On-site, Secondary: Online)
Proposal of Incentive Mechanism for Cross-Silo Federated Learning with Differential Privacy
Shota Miyagoshi, Takuji Tachibana (Univ. Fukui)
In cross-silo federated learning, where multiple companies/organizations participate, the prediction accuracy of the glo... [more]
AP, RCS
(Joint)
2021-11-11
09:55
Nagasaki NBC-Bekkan (Nagasaki)
(Primary: On-site, Secondary: Online)
On Power Allocation Strategy for Realistic Cellular Structured Cluster-wise Distributed MU-MIMO System
Sijie Xia, Chang Ge, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) RCS2021-157
With the demanding of higher capacity and higher data rate services in 5G-advanced systems, distributed multi-user multi... [more] RCS2021-157
pp.75-79
COMP 2021-10-23
14:30
Online Online Algorithms for Graph Class Identification Problems in the Population Protocol Model
Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue (NAIST) COMP2021-17
In this paper, we focus on graph class identification problems in the population protocol model.
A graph class identifi... [more]
COMP2021-17
pp.20-27
CQ, MIKA
(Joint)
2021-09-10
12:40
Online Online [Special Invited Talk] Toward Communication Efficient Federated Learning
Takayuki Nishio (TokyoTech) CQ2021-56
Federated Learning (FL) is a machine learning framework that trains models using distributed data. Since FL can utilize ... [more] CQ2021-56
pp.94-96
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
09:25
Online Online On Cellular Structure for Ultra-dense Distributed Antenna-based 5G-advanced Systems
Sijie Xia, Chang Ge, Ryo Takahashi, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) RCS2021-78
Compared with the traditional cellular structure based on centralized antennas, the distributed antenna-based cellular s... [more] RCS2021-78
pp.7-12
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
13:50
Online Online Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF
Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] NC2021-3 IBISML2021-3
pp.15-22
SR 2021-05-21
10:50
Online Online Performance Evaluation of Distributed Channel Selection Algorithm Based on Reinforcement Learning for Massive Mobile IoT Systems
Daisuke Yamamoto, Honami Furukawa, Yusuke Ito, Aohan Li (TUS), Song-Ju Kim (Keio Univ.), Mikio Hasegawa (TUS) SR2021-11
In a Massive IoT environment, degradation of communication quality due to network congestion is a serious problem. In pr... [more] SR2021-11
pp.73-78
COMP, IPSJ-AL 2021-05-07
16:40
Online Online Exploration of dynamic graphs by the minimum number of agents
Shunsuke Iitsuka (Osaka Univ.), Yuichi Sudo (Hosei Univ.), Taisuke Izumi, Toshimitsu Masuzawa (Osaka Univ.) COMP2021-3
We consider the collaborative exploration of dynamic graphs by multiple agents, where dynamic graphs are defined as the ... [more] COMP2021-3
pp.17-22
COMP, IPSJ-AL 2021-05-07
17:10
Online Online A self-stabilizing 1-minimal independent dominating set algorithm based on loop composition
Yuto Taniuchi (Osaka Univ.), Yuichi Sudo (Hosei Univ.), Taisuke Izumi, Toshimitsu Masuzawa (Osaka Univ.) COMP2021-4
We consider the 1-minimal independent dominating set (1-MIDS) problem: given a connected graph $G=(V,E)$, our goal is to... [more] COMP2021-4
pp.23-30
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
RCC 2021-01-22
13:55
Online Online Distributed Mini-Batch Stochastic Subgradient Algorithm over Directed Networks
Daichi Ishikawa, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) RCC2020-35
We consider a constrained optimization problem of minimizing the sum of the local convex objective function values of ag... [more] RCC2020-35
pp.4-8
NS, RCS
(Joint)
2020-12-17
12:15
Online Online Processing allocation algorithm for distributed deep learning in wireless sensor networks
Karin Umeda, Takashi Nishitsuji, Takuya Asaka (Tokyo Metropolitan Univ.), Takumi Miyoshi (Shibaura Inst. of Tech.) NS2020-90
In wireless sensor networks, distributed processing technology for deep learning that utilizes edge computing and mobile... [more] NS2020-90
pp.17-22
SRW, SeMI, CNR
(Joint)
2020-11-26
17:20
Online Online [Poster Presentation] Queue Allocation Methods on Light-Weight DDoS Mitigation at Network Edge
Ryo Yaegashi (Tokyo Univ. of Agriculture and Tech.), Daisuke Hisano (Osaka Univ.), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) SeMI2020-32
The recent evolution of communication technologies including 5G has lead to the rapid development of Internet of Thing (... [more] SeMI2020-32
pp.67-72
MSS, CAS, IPSJ-AL [detail] 2020-11-25
16:10
Online Online Distributed convex optimization with inequality constraints over directed graphs based on row stochasticity
Hiroaki Sakuma, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) CAS2020-22 MSS2020-14
Distributed optimization is a method in which agents exchange information on the network to obtain the optimal solution ... [more] CAS2020-22 MSS2020-14
pp.16-21
MSS, CAS, IPSJ-AL [detail] 2020-11-25
17:00
Online Online Distributed Algorithms based on Multiplicative Update Rules for Nonnegative Matrix Factorization
Yohei Domen, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS2020-24 MSS2020-16
Nonnegative matrix factorization (NMF) is a multivariate method that approximates a given nonnegative matrix by the prod... [more] CAS2020-24 MSS2020-16
pp.28-33
 Results 1 - 20 of 202  /  [Next]  
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