Truong Thao Nguyen

Orcid: 0000-0003-3641-374X

According to our database1, Truong Thao Nguyen authored at least 30 papers between 2016 and 2024.

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Bibliography

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

2023
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.
IEEE Trans. Parallel Distributed Syst., October, 2023

Effective switchless inter-FPGA memory networks.
J. Parallel Distributed Comput., September, 2023

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection.
CoRR, 2023

KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training.
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

Scalable Low-Latency Inter-FPGA Networks.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning.
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

Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters.
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
Scaling distributed deep learning workloads beyond the memory capacity with KARMA.
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

Topology-aware Sparse Allreduce for Large-scale Deep Learning.
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

Low-Reliable Low-Latency Networks Optimized for HPC Parallel Applications.
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
Layout-Conscious Expandable Topology for Low-Degree Interconnection Networks.
IEICE Trans. Inf. Syst., 2016

A diagonal cabling approach to data center and HPC systems.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016


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