Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS |
2024-05-09 15:45 |
Mie |
Sinfonia Technology Hibiki Hall Ise (Primary: On-site, Secondary: Online) |
Quantum Overlay Network Configuration Considering Storage Capacity for Low Latency in Quantum Networks Hayata Matsumiya, Takuji Tachibana (Univ. Fukui) |
[more] |
|
NS |
2024-05-09 16:10 |
Mie |
Sinfonia Technology Hibiki Hall Ise (Primary: On-site, Secondary: Online) |
Edge Server Selection Method for High-accuracy Task Processing in Multi-access Quantum Edge Computing Shimba Nozaki, Takuji Tachibana (Univ. Fukui) |
[more] |
|
PN |
2024-04-30 15:15 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Research Trends in Quantum Network Architecture Takuji Tachibana (Univ. Fukui) PN2024-4 |
[more] |
PN2024-4 pp.21-24 |
NS, IN (Joint) |
2024-02-29 09:20 |
Okinawa |
Okinawa Convention Center |
Incentive Mechanism with Subsidy in Cross-Silo Federated Learning Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-184 |
[more] |
NS2023-184 pp.74-79 |
NS, IN (Joint) |
2024-03-01 14:50 |
Okinawa |
Okinawa Convention Center |
Performance Evaluation of E2E and HBH Transmissions in Quantum Networks Haruna Kimura, Takuji Tachibana (Fukui Univ) NS2023-238 |
[more] |
NS2023-238 pp.391-396 |
IA |
2023-11-22 14:05 |
Aomori |
Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Training Data Generation and Experimental System Construction of Federated Learning for Fishing Prediction Yutaka Hatazawa, Syota Miyagosi, Tomoya Kawakami, Takuji Tachibana (Univ. Fukui) IA2023-36 |
[more] |
IA2023-36 pp.1-4 |
IA |
2023-11-22 14:30 |
Aomori |
Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Proposal of Microservices Configuration Method for In-Network Computing Environment Tomonori Yokono, Takuji Tachibana (Univ. Fukui) IA2023-37 |
Microservice architecture, which develops large-scale software by linking small independent services, enables appropriat... [more] |
IA2023-37 pp.5-9 |
RISING (3rd) |
2023-10-31 09:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Priority-Aware Data Transmission Schem in Quantum Network with E2E and HBH Data Transmission Haruna Kimura, Takuji Tachibana (Fukui Univ.) |
In quantum networks, qubit transmitted by quantum teleportation using quantum entanglements generated between source and... [more] |
|
RISING (3rd) |
2023-10-31 09:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Task Offloading for High-accuracy Computing in Mobile Edge-Quantum Computing Shimba Nozaki, Takuji Tachibana (Univ. Fukui) |
Because future applications with machine learning and AI require more sophisticated and faster computational
processing... [more] |
|
RISING (3rd) |
2023-10-31 09:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
SDN Controller Placement Considering D-Geodiversity Based on Heuristic Algorithm Yukinao Hagi (Univ. Fukui), Shohei Kamamura (Seikei Univ.), Takuji Tachibana (Univ. Fukui) |
[more] |
|
RISING (3rd) |
2023-10-31 10:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Experiments on a Large-scale Federated Learning System for Fishing Prediction Harii Oura, Takuji Tachibana, Tomoya Kawakami (Fukui Univ) |
In federated learning, a method of distributed learning, a global model is constructed from only the training results wi... [more] |
|
RISING (3rd) |
2023-10-31 10:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Formulation of a Social Surplus Optimization Problem for Predicting Fishing Outcomes Using Federated Learning Shotaro Kitano, Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) |
In cross-device federative learning, where each client participates with an IoT device such as a smartphone, a large num... [more] |
|
RISING (3rd) |
2023-10-31 10:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Experimental Evaluation of Fishing Prediction Using Federation Learning Yutaka Hatazawa, Shota Miyagosi, Tomoya Kawakami, Takuji Tachibana (Univ. Fukui) |
In order to revitalize the recreational fishing industry in rivers, efforts are underway to make fishing tickets availab... [more] |
|
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] |
|
RISING (3rd) |
2023-10-31 13:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Power and Traffic Sector Coupling Using Quasi-Newtonian Method to Minimize Distribution Loss Koga Nakamura, Ryuto Shigenobu, Takuji Tachibana (Univ. Fukui) |
[more] |
|
RISING (3rd) |
2023-10-31 13:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Formulation and Solution of Microservice Configuration for In-Network Computing Environment Tomonori Yokono, Takuji Tachibana (Univ. Fukui) |
Microservices architecture is well-suited for agile development practices due to its high degree of flexibility and scal... [more] |
|
RISING (3rd) |
2023-10-31 14:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Optimal Compression Rate for Multiple Data Compression Techniques in Data Parallel Distributed Deep Learning Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) |
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more] |
|
RISING (3rd) |
2023-10-31 14:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Quantum Overlay Network Configuration Method for Low Latency with High Efficiency Swapping Hayata Matsumiya, Takuji Tachibana (Univ. Fukui) |
A quantum overlay network (QON) consists of multiple storages that store pre-generated quantum entanglements and the sto... [more] |
|
NS |
2023-10-05 10:10 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Communication Scheduling Based on Heuristic Algorithm in Distributed Deep Learning Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) NS2023-86 |
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more] |
NS2023-86 pp.83-88 |
NS |
2023-10-06 15:20 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Incentive Mechanism Considering Heterogeneous Privacy Demand Level in Federated Learning with Differential Privacy Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-104 |
In federated learning, where multiple data owners participate as clients to perform machine learning, each client shares... [more] |
NS2023-104 pp.162-167 |