Nguyen Truong ＮｇｕｙｅｎＴｒｕｏｎｇ

… Alternative Names

Nguyen TRUONG Nguyen Truong

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Researcher Number	60835346
Other IDs
Affiliation (Current)	2026: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
Affiliation (based on the past Project Information) *help	2026: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 2021 – 2023: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
Review Section/Research Field	Principal Investigator Basic Section 60090:High performance computing-related
Keywords	Principal Investigator Hybrid parallelism / Distributed computing / Large-scale / Non-IID / Distributed Computing / Large Scale / Deep Learning / Large scale system / Large dataset / Large Model / Distributed Training

Research Projects
(2 results)
Research Products
(10 results)

Collaborative frameworks for processing large foundation AI models across the cloud-to-edge continuum computingPrincipal Investigator
- Principal Investigator
  
  Nguyen Truong
- Project Period (FY)
  2026 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Scalable Hybrid-parallelism Design for Mega-Size Deep Learning ModelPrincipal Investigator
- Principal Investigator
  
  Nguyen TRUONG
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology

All 2024 2023 2022

All Journal Article Presentation

[Journal Article] A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network2024
- Author(s)
  Kien Trung Pham, Thao Nguyen Truong and Michihiro Koibuchi
- Journal Title
  
  24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
  
  Volume: - Pages: 1-7
- DOI
  10.1109/ccgrid59990.2024.00010
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751, KAKENHI-PLANNED-22H05193, KAKENHI-PROJECT-23K28079
[Journal Article] FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training2024
- Author(s)
  Nguyen Quan、Pham Hieu H.、Wong Kok-Seng、Le Nguyen Phi、Nguyen Truong Thao、Do Minh N.
- Journal Title
  
  IEEE Transactions on Network and Service Management
  
  Volume: 21 Issue: 1 Pages: 418-436
- DOI
  10.1109/tnsm.2023.3314066
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Journal Article] KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training2024
- Author(s)
  Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, Francois Trahay, and Mohamed Wahib
- Journal Title
  
  37th Conference on Neural Information Processing Systems (NeurIPS 2023)
  
  Volume: - Pages: 1-23
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Journal Article] CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization2023
- Author(s)
  Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen
- Journal Title
  
  23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
  
  Volume: - Pages: 249-261
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Journal Article] Effective Switchless Inter-FPGA Memory Networks2023
- Author(s)
  Truong Thao Nguyen, Kien Trung Pham, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi
- Journal Title
  
  Journal of Parallel and Distributed Computing
  
  Volume: -
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Journal Article] SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning2023
- Author(s)
  Pham Quang Ha、Nguyen Nang Hung、Nguyen Thanh Hung、Pham Huy Hieu、Nguyen Phi Le、Nguyen Truong Thao
- Journal Title
  
  Eleventh International Symposium on Computing and Networking (CANDAR)
  
  Volume: - Pages: 120-126
- DOI
  10.1109/candar60563.2023.00023
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Journal Article] Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning2022
- Author(s)
  Truong Thao Nguyen, Francois Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi
- Journal Title
  
  36th IEEE International Parallel & Distributed Processing Symposium
  
  Volume: 0 Pages: 1-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Journal Article] Scalable Low-Latency Inter-FPGA Networks2022
- Author(s)
  Kien Trung Pham, Truong Thao Nguyen, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi
- Journal Title
  
  36th IEEE International Parallel & Distributed Processing Symposium
  
  Volume: 0 Pages: 1-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Presentation] Efficient Sample Exchanging for Large-Scale Training Distributed Deep Learning with Local Sampling2024
- Author(s)
  Truong Thao Nguyen, Yusuke Tanimura
- Organizer
  International Conference on High Performance Computing in Asia-Pacific Region 2024
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751
[Presentation] Efficient Allreduce Algorithm for Large-Scale Deep Learning on Distributed Loop Networks2023
- Author(s)
  Truong Thao Nguyen, Peng Chen, Yusuke Tanimura
- Organizer
  International Conference on High Performance Computing in Asia-Pacific Region 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17751

Nguyen Truong Ｎｇｕｙｅｎ Ｔｒｕｏｎｇ

Nguyen TRUONG Nguyen Truong

Research Projects

Research Products

Collaborative frameworks for processing large foundation AI models across the cloud-to-edge continuum computingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Scalable Hybrid-parallelism Design for Mega-Size Deep Learning ModelPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training2024

Author(s)

Journal Title

Data Source

[Journal Article] CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization2023

Author(s)

Journal Title

Data Source

[Journal Article] Effective Switchless Inter-FPGA Memory Networks2023

Author(s)

Journal Title

Data Source

[Journal Article] SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning2022

Author(s)

Journal Title

Data Source

[Journal Article] Scalable Low-Latency Inter-FPGA Networks2022

Author(s)

Journal Title

Data Source

[Presentation] Efficient Sample Exchanging for Large-Scale Training Distributed Deep Learning with Local Sampling2024

Author(s)

Organizer

Data Source

[Presentation] Efficient Allreduce Algorithm for Large-Scale Deep Learning on Distributed Loop Networks2023

Author(s)

Organizer

Data Source

Nguyen Truong ＮｇｕｙｅｎＴｒｕｏｎｇ