Truong Thao Nguyen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Memory Capacity

Convolutional Neural Networks

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

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 (2024)
Trung Thanh Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. CoRR (2024)
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) (2024)
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)
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)
Truong Thao Nguyen, Kien Trung Pham, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi
Effective switchless inter-FPGA memory networks. J. Parallel Distributed Comput. 179 (2023)
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)
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. NeurIPS (2023)
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. CoRR (2023)
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 (2023)
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)
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 (2023)
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) (2023)
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)
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)
Kien Trung Pham, Truong Thao Nguyen, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi
Scalable Low-Latency Inter-FPGA Networks. IPDPS (2022)
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 (2022)
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) (2022)
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)
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 (2022)
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)
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)
Truong Thao Nguyen, Mohamed Wahib
An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning. CCGRID (2021)
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)
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 (2021)
Truong Thao Nguyen, Ryousei Takano
Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale. IEICE Trans. Inf. Syst. (8) (2021)
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)
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)
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)
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 (2020)
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)
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
Topology-aware Sparse Allreduce for Large-scale Deep Learning. IPCCC (2019)
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads. CANDAR Workshops (2018)
Truong Thao Nguyen, Hiroki Matsutani, Michihiro Koibuchi
Low-Reliable Low-Latency Networks Optimized for HPC Parallel Applications. NCA (2018)
Truong Thao Nguyen, Khanh-Van Nguyen, Ikki Fujiwara, Michihiro Koibuchi
Layout-Conscious Expandable Topology for Low-Degree Interconnection Networks. IEICE Trans. Inf. Syst. (5) (2016)
Truong Thao Nguyen, Ikki Fujiwara, Michihiro Koibuchi
A diagonal cabling approach to data center and HPC systems. SoICT (2016)