Nguyen Truong Thao

Affiliation and department：
Job title： Researcher

Research field (3)： Learning support systems , High-performance computing , Computer systems

Research keywords (4)： Federated Learning , Distributed Deep Learning , network architecture , Distributed System

Research theme for competitive and other funds (2)：

2021 - 2024 Scalable Hybrid-parallelism Design for Mega-Size Deep Learning Model
2019 - 2022 Exploring large-scale design of distributed deep neural networks

Papers (35)：

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

ｍore...

Lectures and oral presentations (3)：

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)

Professional career (1)：

Work history (5)：

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

Committee career (9)：

2023/05 - 2023/12 Technical Program Committee, SoICT 2023 (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

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Awards (7)：

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

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