チュオングエンタオ (Truong Thao Nguyen) - マイポータル

基本情報

所属: 国立研究開発法人産業技術総合研究所

学位: Ph.D.(The Graduate University of Advanced Studies)

J-GLOBAL ID: 201801007627507278
researchmap会員ID: B000316027

Truong Thao Nguyen received the BE and ME degrees from Hanoi University of Science and Technology, Hanoi, Vietnam, in 2011 and 2014, respectively. He received the Ph.D. in Informatics from the Graduate University for Advanced Studies, Japan in 2018. He is currently working at Digital Architecture Research Center, at National Institute of Advanced Industrial Science and Technology (AIST), where he focuses on the topics of High Performance Computing system, Distributed Deep Learning and beyond.

研究キーワード

研究分野

経歴

2019年10月 - 現在

National Institute of Advanced Industrial Science and Technology (AIST), Department of Information Technology and Human Factors Research Promotion Division of Information Technology, Researcher
2018年4月 - 2019年9月

National Institute of Advanced Industrial Science and Technology (AIST), AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), Posdoctoral Researcher
2015年4月 - 2018年3月

Department of Informatics, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies (SOKENDAI), Ph.D. candidate
2012年9月 - 2014年10月

School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST), Graduate student
2006年9月 - 2011年7月

School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST), Undergraduate student

主要な委員歴

もっとみる

受賞

2023年11月

Best Paper Award, SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning, The Eleventh International Symposium on Computing and Networking (CANDAR2023)

Quang Ha Pham, Nang Hung Nguyen, Tanh Hung Nguyen, Huy Hieu Pham, Phi Le Nguyen, Truong Thao Nguyen
2023年5月

Best Paper Award Finalist, Cadis: Handling cluster-skewed non-iid data in federated learning with clustered aggregation and knowledge distilled regularization, 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh Hung Nguyen, Hieu Pham, Truong Thao Nguyen, Nguyen Phi Le
2018年11月

Best Paper Award, Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads, 3rd International Workshop on GPU Computing and AI (GCA)

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2017年5月

Best Poster Award, Cable-geometric error-prone approach for low-latency interconnection networks, 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)2017

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2017年3月

Best Student Award, National Institute of Informatics, Japan

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2016年12月

Best Paper Runner-up Award, A Diagonal Cabling Approach to Datacenter and HPC Systems, The 7th International Symposium on Information and Communication Technology (SoICT 2016)

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2015年4月

Honors Scholarship for Privately Financed International Students, JASSO, Japan

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主要な論文

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training

Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do

IEEE Transactions on Network and Service Management 21(1) 418-436 2024年2月
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training

Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, Francois Trahay, Mohamed Wahib

37th Conference on Neural Information Processing Systems (NeurIPS 2023) 2023年11月査読有り筆頭著者責任著者
Effective switchless inter-FPGA memory networks

Truong Thao Nguyen, Kien Trung Pham, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi

Journal of Parallel and Distributed Computing 179 104713-104713 2023年9月査読有り招待有り筆頭著者
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization

Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen

The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2023) (Best Paper Award Finalist) 2023年5月査読有り責任著者
Scalable Low-Latency Inter-FPGA Networks

Kien Trung Pham, Thao Nguyen Truong, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi

36th IEEE International Parallel & Distributed Processing Symposium (IPDPS2022) 234-245 2022年5月査読有り筆頭著者責任著者
Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning

Thao Nguyen Truong, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi

36th IEEE International Parallel & Distributed Processing Symposium (IPDPS2022) 1085-1096 2022年5月査読有り筆頭著者責任著者
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.

Nang Hung Nguyen, Phi Le Nguyen, Thuy Dung Nguyen, Trung Thanh Nguyen, Duc Long Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen

ICPP 73-11 2022年査読有り責任著者
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks

Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib

Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing 161-173 2021年6月21日査読有り筆頭著者責任著者
An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning

Truong Thao Nguyen, Mohamed Wahib

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) 396-405 2021年5月査読有り筆頭著者責任著者
Scaling distributed deep learning workloads beyond the memory capacity with KARMA.

Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang 0001, Ryousei Takano, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis(SC) abs/2008.11421 19-19 2020年査読有り
Low-Reliable Low-Latency Networks Optimized for HPC Parallel Applications

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2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) 1-10 2018年11月査読有り
Distributed Shortcut Networks: Low-Latency Low-Degree Non-Random Topologies Targeting the Diameter and Cable Length Trade-Off

Nguyen T. Truong, Ikki Fujiwara, Michihiro Koibuchi, Khanh-Van Nguyen

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 28(4) 989-1001 2017年4月査読有り

もっとみる

講演・口頭発表等

Efficient Sample Exchanging for Large-Scale Training Distributed Deep Learning with Local Sampling

Truong Thao Nguyen, Yusuke Tanimura

International Conference on High Performance Computing in Asia-Pacific Region 2024 2024年1月26日
Efficient Allreduce Algorithm for Large-Scale Deep Learning on Distributed Loop Networks

Truong Thao Nguyen, Hou Chin, YUSUKE TANIMURA

HPC Asia 2023 2023年3月1日
Cable-geometric error-prone approach for low latency interconnection networks

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18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP ’18), Tokyo, Japan 2018年3月

共同研究・競争的資金等の研究課題

Scalable Hybrid-parallelism Design for Mega-Size Deep Learning Model

日本学術振興会科学研究費助成事業若手研究若手研究 2021年4月 - 2024年3月

Nguyen Truong
Exploring large-scale design of distributed deep neural networks

Japan Science and Technology Agency (JST) ACT-X (Frontier of mathematics and information science) 2019年10月 - 2022年3月

チュオンタオグエン

チュオングエンタオ