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ORCIDTruong Thao Nguyen
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Books and Theses
- 2018
[b1]Truong Thao Nguyen:
Cable-Geometric and Moderate Error-Proof Approach for Low-Latency Interconnection Networks. Graduate University for Advanced Studies, Japan, 2018
Journal Articles
- 2024
- [j8]Pham Minh Khiem, Phi Le Nguyen
, Viet Hung Vu, Truong Thao Nguyen, Hoa Vo-Van, Thanh Ngo-Duc:
A data-driven approach for high accurate spatiotemporal precipitation estimation. Neural Comput. Appl. 36(11): 6099-6118 (2024) - [j7]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 Trans. Netw. Serv. Manag. 21(1): 418-436 (2024) - 2023
- [j6]Truong Thao Nguyen, Kien Trung Pham, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi:
Effective switchless inter-FPGA memory networks. J. Parallel Distributed Comput. 179: 104713 (2023) - [j5]Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong:
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 34(10): 2767-2782 (2023) - 2022
- [j4]Trung Thanh Nguyen, Truong Thao Nguyen, Thanh-Hung Nguyen, Phi Le Nguyen:
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. IEEE Trans. Netw. Serv. Manag. 19(4): 5021-5033 (2022) - 2021
- [j3]Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano:
Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters. Concurr. Comput. Pract. Exp. 33(12) (2021) - [j2]Truong Thao Nguyen, Ryousei Takano:
Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale. IEICE Trans. Inf. Syst. 104-D(8): 1332-1339 (2021) - 2016
- [j1]Truong Thao Nguyen, Khanh-Van Nguyen, Ikki Fujiwara, Michihiro Koibuchi:
Layout-Conscious Expandable Topology for Low-Degree Interconnection Networks. IEICE Trans. Inf. Syst. 99-D(5): 1275-1284 (2016)
Conference and Workshop Papers
- 2024
- [c24]Kien Trung Pham, Truong Thao Nguyen, Michihiro Koibuchi:
A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network. CCGrid 2024: 1-7 - [c23]Van An Le, Jason Haga, Yusuke Tanimura, Truong Thao Nguyen:
SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment. e-Science 2024: 1-2 - [c22]Manh Cuong Dao, Phi Le Nguyen, Truong Thao Nguyen, Trong Nghia Hoang:
Boosting Offline Optimizers with Surrogate Sensitivity. ICML 2024 - [c21]Van An Le, Nam Duong Tran, Phuong Nam Nguyen, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen, Yusheng Ji:
Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting. IPDPS 2024: 205-216 - [c20]Duc Long Nguyen, Phi Le Nguyen, Truong Thao Nguyen:
Combating Quality Distortion in Federated Learning with Collaborative Data Selection. PAKDD (3) 2024: 182-193 - 2023
- [c19]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. candar 2023: 120-126 - [c18]Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy 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. CCGrid 2023: 249-261 - [c17]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. IJCNN 2023: 1-10 - [c16]Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib:
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. NeurIPS 2023 - 2022
- [c15]Nang Hung Nguyen, Phi Le Nguyen, Thuy Dung Nguyen, Trung Thanh Nguyen, Duc Long Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen:
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. ICPP 2022: 73:1-73:11 - [c14]Kien Trung Pham, Truong Thao Nguyen, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi:
Scalable Low-Latency Inter-FPGA Networks. IPDPS 2022: 234-245 - [c13]Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi:
Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. IPDPS 2022: 1085-1096 - [c12]Hung Cuong Nguyen, Manh Cuong Dao, Thanh Trung Nguyen, Ngoc Khanh Doan, Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen:
Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs. PIMRC 2022: 1178-1184 - [c11]Tuan Anh Nguyen Dinh, Anh Duy Nguyen, Truong Thao Nguyen, Thanh-Hung Nguyen, Phi Le Nguyen:
Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring. WCNC 2022: 1449-1454 - [c10]Hieu Dinh, Nang Hung Nguyen, Trung Thanh Nguyen, Thanh-Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen:
Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks. WCNC 2022: 1803-1808 - 2021
- [c9]Truong Thao Nguyen, Mohamed Wahib:
An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning. CCGRID 2021: 396-405 - [c8]Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib:
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. HPDC 2021: 161-173 - [c7]Trung Thanh Nguyen, Truong Thao Nguyen, Tuan Anh Nguyen Dinh, Thanh-Hung Nguyen, Phi Le Nguyen:
Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems. IPCCC 2021: 1-7 - 2020
- [c6]Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka:
Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC 2020: 19 - 2019
- [c5]Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano:
Topology-aware Sparse Allreduce for Large-scale Deep Learning. IPCCC 2019: 1-8 - [c4]Truong Thao Nguyen, Ryousei Takano:
On the Feasibility of Hybrid Electrical/Optical Switch Architecture for Large-Scale Training of Distributed Deep Learning. PHOTONICS@SC 2019: 7-14 - 2018
- [c3]Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano:
Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads. CANDAR Workshops 2018: 216-222 - [c2]Truong Thao Nguyen, Hiroki Matsutani, Michihiro Koibuchi:
Low-Reliable Low-Latency Networks Optimized for HPC Parallel Applications. NCA 2018: 1-10 - 2016
- [c1]Truong Thao Nguyen, Ikki Fujiwara, Michihiro Koibuchi:
A diagonal cabling approach to data center and HPC systems. SoICT 2016: 265-271
Informal and Other Publications
- 2024
- [i11]Trung Thanh Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen:
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. CoRR abs/2405.01057 (2024) - [i10]Trung Thanh Nguyen, Truong Thao Nguyen, Tuan Anh Nguyen Dinh, Thanh Hung Nguyen, Phi Le Nguyen:
Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems. CoRR abs/2405.01609 (2024) - [i9]Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, Phi Le Nguyen:
FedCert: Federated Accuracy Certification. CoRR abs/2410.03067 (2024) - 2023
- [i8]Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy 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. CoRR abs/2302.10413 (2023) - [i7]Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen:
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion. CoRR abs/2303.09782 (2023) - [i6]Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen:
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. CoRR abs/2305.00328 (2023) - [i5]Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib:
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. CoRR abs/2310.10102 (2023) - 2022
- [i4]Nang Hung Nguyen, Phi Le Nguyen, Duc Long Nguyen, Trung Thanh Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Truong Thao Nguyen:
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. CoRR abs/2208.02442 (2022) - [i3]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 Co-Training. CoRR abs/2211.10948 (2022) - 2021
- [i2]Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib:
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. CoRR abs/2104.09075 (2021) - 2020
- [i1]Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka:
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. CoRR abs/2008.11421 (2020)
Coauthor Index
aka: Phi Le Nguyen
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