研究者
J-GLOBAL ID：201801007627507278   更新日: 2024年08月16日

チュオン グエン タオ

Nguyen Truong Thao
所属機関・部署：
国立研究開発法人産業技術総合研究所

国立研究開発法人産業技術総合研究所 について


研究分野 (3件)： 学習支援システム ,  高性能計算 ,  計算機システム
研究キーワード (4件)： Federated Learning ,  Distributed Deep Learning ,  network architecture ,  Distributed System
競争的資金等の研究課題 (2件)：
  • 2021 - 2024 Scalable Hybrid-parallelism Design for Mega-Size Deep Learning Model
  • 2019 - 2022 Exploring large-scale design of distributed deep neural networks
論文 (35件)：
  • Duc Long Nguyen, Phi Le Nguyen, Thao Nguyen Truong. Combating Quality Distortion in Federated Learning with Collaborative Data Selection. Advances in Knowledge Discovery and Data Mining. 2024. 182-193
  • Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do. FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. IEEE Transactions on Network and Service Management. 2024. 21. 1. 418-436
  • Quang Ha Pham, Nang Hung Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Phi Le Nguyen, Truong Thao Nguyen. SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning. 2023 Eleventh International Symposium on Computing and Networking (CANDAR). 2023
  • Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, Francois Trahay, Mohamed Wahib. KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. 37th Conference on Neural Information Processing Systems (NeurIPS 2023). 2023
  • Truong Thao Nguyen, Kien Trung Pham, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi. Effective switchless inter-FPGA memory networks. Journal of Parallel and Distributed Computing. 2023. 179. 104713-104713
もっと見る
講演・口頭発表等 (3件)：
  • Efficient Sample Exchanging for Large-Scale Training Distributed Deep Learning with Local Sampling
    (International Conference on High Performance Computing in Asia-Pacific Region 2024 2024)
  • Efficient Allreduce Algorithm for Large-Scale Deep Learning on Distributed Loop Networks
    (HPC Asia 2023 2023)
  • Cable-geometric error-prone approach for low latency interconnection networks
    (18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP ’18), Tokyo, Japan 2018)
学位 (1件)：
  • Ph.D. (The Graduate University of Advanced Studies)
経歴 (5件)：
  • 2019/10 - 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
  • 2018/04 - 2019/09 National Institute of Advanced Industrial Science and Technology (AIST) AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL) Posdoctoral Researcher
  • 2015/04 - 2018/03 Department of Informatics, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies (SOKENDAI) Ph.D. candidate
  • 2012/09 - 2014/10 School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST) Graduate student
  • 2006/09 - 2011/07 School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST) Undergraduate student
委員歴 (9件)：
  • 2023/05 - 2023/12 Technical Program Committee, SoICT 2022 (International Symposium on information and communication technology
  • 2023/05 - 2023/11 IEEE International Symposium on Computing and Networking (CANDAR 2023) Technical Program Committee
  • 2023 - 2023 The International Conference for High Performance Computing, Networking, Storage, and Analysis Technical Program Committee
  • 2022/05 - 2022/12 SoICT 2022 (International Symposium on information and communication technology Technical Program Committee
  • 2022/05 - 2022/11 IEEE International Symposium on Computing and Networking (CANDAR 2022) Technical Program Committee
全件表示
受賞 (7件)：
  • 2023/11 - The Eleventh International Symposium on Computing and Networking (CANDAR2023) Best Paper Award SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning
  • 2023/05 - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Best Paper Award Finalist Cadis: Handling cluster-skewed non-iid data in federated learning with clustered aggregation and knowledge distilled regularization
  • 2018/11 - 3rd International Workshop on GPU Computing and AI (GCA) Best Paper Award Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads
  • 2017/05 - 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)2017 Best Poster Award Cable-geometric error-prone approach for low-latency interconnection networks
  • 2017/03 - National Institute of Informatics, Japan Best Student Award
全件表示
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