A diagonal cabling approach to data center and HPC systems. - Truong Thao Nguyen; Ikki Fujiwara; Michihiro Koibuchi (SoICT, 2016)

Layout-Conscious Expandable Topology for Low-Degree Interconnection Networks. - Truong Thao Nguyen; Khanh-Van Nguyen; Ikki Fujiwara; Michihiro Koibuchi (IEICE Trans. Inf. Syst., 2016)

Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads. - Truong Thao Nguyen; Mohamed Wahib; Ryousei Takano (CANDAR Workshops, 2018)

Low-Reliable Low-Latency Networks Optimized for HPC Parallel Applications. - Truong Thao Nguyen; Hiroki Matsutani; Michihiro Koibuchi (NCA, 2018)

Cable-Geometric and Moderate Error-Proof Approach for Low-Latency Interconnection Networks. - Truong Thao Nguyen (2018)

Topology-aware Sparse Allreduce for Large-scale Deep Learning. - Truong Thao Nguyen; Mohamed Wahib; Ryousei Takano (IPCCC, 2019)

On the Feasibility of Hybrid Electrical/Optical Switch Architecture for Large-Scale Training of Distributed Deep Learning. - Truong Thao Nguyen; Ryousei Takano (PHOTONICS@SC, 2019)

Scaling distributed deep learning workloads beyond the memory capacity with KARMA. - Mohamed Wahib; Haoyu Zhang; Truong Thao Nguyen; Aleksandr Drozd; Jens Domke; Lingqi Zhang 001; Ryousei Takano; Satoshi Matsuoka (SC, 2020)

An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning. - Truong Thao Nguyen; Mohamed Wahib (CCGRID, 2021)

An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. - Albert Njoroge Kahira; Truong Thao Nguyen; Leonardo Bautista-Gomez; Ryousei Takano; Rosa M. Badia; Mohamed Wahib (HPDC, 2021)

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems. - Trung Thanh Nguyen; Truong Thao Nguyen; Tuan Anh Nguyen Dinh; Thanh-Hung Nguyen; Phi Le Nguyen (IPCCC, 2021)

Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters. - Truong Thao Nguyen; Mohamed Wahib; Ryousei Takano (Concurr. Comput. Pract. Exp., 2021)

Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale. - Truong Thao Nguyen; Ryousei Takano (IEICE Trans. Inf. Syst., 2021)

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. - Nang Hung Nguyen; Phi Le Nguyen; Thuy Dung Nguyen; Trung Thanh Nguyen; Duc Long Nguyen; Thanh Hung Nguyen; Huy Hieu Pham 001; Truong Thao Nguyen (ICPP, 2022)

Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. - Truong Thao Nguyen; François Trahay; Jens Domke; Aleksandr Drozd; Emil Vatai; Jianwei Liao 001; Mohamed Wahib; Balazs Gerofi (IPDPS, 2022)

Scalable Low-Latency Inter-FPGA Networks. - Kien Trung Pham; Truong Thao Nguyen; Hiroshi Yamaguchi; Yutaka Urino; Michihiro Koibuchi (IPDPS, 2022)

Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs. - Hung Cuong Nguyen; Manh Cuong Dao; Thanh Trung Nguyen; Ngoc Khanh Doan; Thanh Hung Nguyen; Truong Thao Nguyen; Phi Le Nguyen (PIMRC, 2022)

Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring. - Tuan Anh Nguyen Dinh; Anh Duy Nguyen; Truong Thao Nguyen; Thanh-Hung Nguyen; Phi Le Nguyen (WCNC, 2022)

Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks. - Hieu Dinh; Nang Hung Nguyen; Trung Thanh Nguyen; Thanh-Hung Nguyen; Truong Thao Nguyen; Phi Le Nguyen (WCNC, 2022)

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. - Nang Hung Nguyen; Phi Le Nguyen; Duc Long Nguyen; Trung Thanh Nguyen; Thuy Dung Nguyen; Huy Hieu Pham 001; Truong Thao Nguyen (CoRR, 2022)

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training. - Quan Nguyen; Hieu H. Pham 001; Kok-Seng Wong; Phi Le Nguyen; Truong Thao Nguyen; Minh N. Do (CoRR, 2022)

Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. - Trung Thanh Nguyen; Truong Thao Nguyen; Thanh-Hung Nguyen; Phi Le Nguyen (IEEE Trans. Netw. Serv. Manag., 2022)

SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning. - Quang-Ha Pham; Nang Hung Nguyen; Thanh Hung Nguyen; Huy Hieu Pham 001; Phi Le Nguyen; Truong Thao Nguyen (candar, 2023)

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization. - Nang Hung Nguyen; Duc Long Nguyen; Trong Bang Nguyen; Thanh-Hung Nguyen; Huy Hieu Pham 001; Truong Thao Nguyen; Phi Le Nguyen (CCGrid, 2023)

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. - Thuy Dung Nguyen; Anh Duy Nguyen; Thanh-Hung Nguyen; Kok-Seng Wong; Huy Hieu Pham 001; Truong Thao Nguyen; Phi Le Nguyen (IJCNN, 2023)

KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. - Truong Thao Nguyen; Balazs Gerofi; Edgar Josafat Martinez-Noriega; François Trahay; Mohamed Wahib (NeurIPS, 2023)

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion. - Anh Duy Nguyen; Huy Hieu Pham 001; Huynh Thanh Trung; Quoc Viet Hung Nguyen; Truong Thao Nguyen; Phi Le Nguyen (CoRR, 2023)

Effective switchless inter-FPGA memory networks. - Truong Thao Nguyen; Kien Trung Pham; Hiroshi Yamaguchi; Yutaka Urino; Michihiro Koibuchi (J. Parallel Distributed Comput., 2023)

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. - Huaipeng Zhang; Nhut-Minh Ho; Dogukan Yigit Polat; Peng Chen 035; Mohamed Wahib; Truong Thao Nguyen; Jintao Meng 001; Rick Siow Mong Goh; Satoshi Matsuoka; Tao Luo 014; Weng-Fai Wong (IEEE Trans. Parallel Distributed Syst., 2023)

A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network. - Kien Trung Pham; Truong Thao Nguyen; Michihiro Koibuchi (CCGrid, 2024)

SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment. - Van An Le; Jason Haga; Yusuke Tanimura; Truong Thao Nguyen (e-Science, 2024)

Boosting Offline Optimizers with Surrogate Sensitivity. - Manh Cuong Dao; Phi Le Nguyen; Truong Thao Nguyen; Trong Nghia Hoang (ICML, 2024)

Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting. - Van An Le; Nam Duong Tran; Phuong Nam Nguyen; Thanh Hung Nguyen; Phi Le Nguyen; Truong Thao Nguyen; Yusheng Ji (IPDPS, 2024)

FedCert: Federated Accuracy Certification. - Minh Hieu Nguyen; Huu Tien Nguyen; Trung Thanh Nguyen; Manh Duong Nguyen; Trong Nghia Hoang; Truong Thao Nguyen; Phi Le Nguyen (NCA, 2024)

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques. - Cuong Dao; Phi Le Nguyen; Truong Thao Nguyen; Nghia Hoang (NeurIPS, 2024)

Combating Quality Distortion in Federated Learning with Collaborative Data Selection. - Duc Long Nguyen; Phi Le Nguyen; Truong Thao Nguyen (PAKDD (3), 2024)

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. - Quan Nguyen; Hieu H. Pham 001; Kok-Seng Wong; Phi Le Nguyen; Truong Thao Nguyen; Minh N. Do (IEEE Trans. Netw. Serv. Manag., 2024)

A data-driven approach for high accurate spatiotemporal precipitation estimation. - Pham Minh Khiem; Phi Le Nguyen; Viet Hung Vu; Truong Thao Nguyen; Hoa Vo-Van; Thanh Ngo-Duc (Neural Comput. Appl., 2024)

CT to PET Translation: A Large-Scale Dataset and Domain-Knowledge-Guided Diffusion Approach. - Dac Thai Nguyen; Trung Thanh Nguyen; Huu Tien Nguyen; Thanh Trung Nguyen; Huy Hieu Pham 001; Thanh Hung Nguyen; Truong Thao Nguyen; Phi Le Nguyen (WACV, 2025)

Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures. - Manh Cuong Dao; Phi Le Nguyen; Hieu H. Pham 001; Thanh Hung Nguyen; Peng Chen 035; Mohamed Wahib; Truong Thao Nguyen (Future Gener. Comput. Syst., 2025)

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques. - Manh Cuong Dao; Phi Le Nguyen; Truong Thao Nguyen; Trong Nghia Hoang (CoRR, 2025)

SAFA: Handling Sparse and Scarce Data in Federated Learning With Accumulative Learning. - Nang Hung Nguyen; Truong Thao Nguyen; Trong Nghia Hoang; Hieu H. Pham 001; Thanh Hung Nguyen; Phi Le Nguyen (IEEE Trans. Computers, 2025)