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 (32)：

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
Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen. FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. 2023 International Joint Conference on Neural Networks (IJCNN). 2023
Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen. CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization. The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2023) (Best Paper Award Finalist). 2023
Huaipeng Zhang, Nhut-Minh Ho, Yigit Polat Dogukan, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, et al. Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Transactions on Parallel and Distributed Systems. 2023. 1-16
Trung Thanh Nguyen, Truong Thao Nguyen, Thanh-Hung Nguyen, Phi Le Nguyen. Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. IEEE Transactions on Network and Service Management. 2022. 19. 4. 5021-5033

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Lectures and oral presentations (2)：

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 (6)：

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
2022 - ACM 51st International Conference on Parallel Processing (ICPP2022) Technical Program Committee
2021/05 - 2021/11 IEEE International Symposium on Computing and Networking (CANDAR 2021) Technical Program Committee
2020/05 - 2020/11 IEEE International Symposium on Computing and Networking (CANDAR 2020) 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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