Truong Thao Nguyen
Orcid: 0000-0003-3641-374X
According to our database1,
Truong Thao Nguyen
authored at least 41 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Neural Comput. Appl., April, 2024
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training.
IEEE Trans. Netw. Serv. Manag., February, 2024
CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach.
CoRR, 2024
Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems.
CoRR, 2024
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing.
CoRR, 2024
Combating Quality Distortion in Federated Learning with Collaborative Data Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 20th IEEE International Conference on e-Science, 2024
A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024
2023
IEEE Trans. Parallel Distributed Syst., October, 2023
J. Parallel Distributed Comput., September, 2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection.
CoRR, 2023
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection.
Proceedings of the International Joint Conference on Neural Networks, 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning.
Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, Matsue, Japan, November 28, 2023
2022
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing.
IEEE Trans. Netw. Serv. Manag., December, 2022
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training.
CoRR, 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
CoRR, 2022
Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
Proceedings of the 51st International Conference on Parallel Processing, 2022
2021
Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale.
IEICE Trans. Inf. Syst., 2021
Concurr. Comput. Pract. Exp., 2021
Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems.
Proceedings of the IEEE International Performance, 2021
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021
An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
Proceedings of the International Conference for High Performance Computing, 2020
2019
On the Feasibility of Hybrid Electrical/Optical Switch Architecture for Large-Scale Training of Distributed Deep Learning.
Proceedings of the 2019 IEEE/ACM Workshop on Photonics-Optics Technology Oriented Networking, 2019
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019
2018
Cable-Geometric and Moderate Error-Proof Approach for Low-Latency Interconnection Networks.
PhD thesis, 2018
Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018
Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018
2016
IEICE Trans. Inf. Syst., 2016
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016