Dinh C. Nguyen

Orcid: 0000-0002-8092-6756

According to our database1, Dinh C. Nguyen authored at least 54 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Guest Editorial: Federated Learning for Industrial Internet of Things.
IEEE Internet Things Mag., September, 2024

Toward Privacy-Preserving Waste Classification in the Internet of Things.
IEEE Internet Things J., July, 2024

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems.
IEEE Trans. Intell. Transp. Syst., May, 2024

FedXPro: Bayesian Inference for Mitigating Poisoning Attacks in IoT Federated Learning.
IEEE Internet Things J., April, 2024

Federated learning for green and sustainable 6G IIoT applications.
Internet Things, April, 2024

Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework.
IEEE J. Sel. Areas Commun., February, 2024

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions.
CoRR, 2024

Industrial Metaverse: Enabling Technologies, Open Problems, and Future Trends.
CoRR, 2024

Private Knowledge Sharing in Distributed Learning: A Survey.
CoRR, 2024

Privacy-Preserving X-ray Image Enhancement: A GAN-Cybersecurity-Based Approach.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023
Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., April, 2023

Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity.
Sensors, 2023

Federated Learning for Smart Healthcare: A Survey.
ACM Comput. Surv., 2023

V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges.
CoRR, 2023

Holistic Survey of Privacy and Fairness in Machine Learning.
CoRR, 2023

Network-Aided Intelligent Traffic Steering in 6G ORAN: A Multi-Layer Optimization Framework.
CoRR, 2023

HierSFL: Local Differential Privacy-Aided Split Federated Learning in Mobile Edge Computing.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

Federated Learning with Provable Security Against Malicious Clients in IoT Networks.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023

Enabling Intelligent Traffic Steering in A Hierarchical Open Radio Access Network.
Proceedings of the IEEE Global Communications Conference, 2023

Performance Evaluation of Fog-to-Cloud Computing Schemes for IoMT Systems Using Queuing Models.
Proceedings of the IEEE Global Communications Conference, 2023

Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges.
IEEE Netw., 2022

Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing.
IEEE J. Sel. Areas Commun., 2022

Incentive techniques for the Internet of Things: A survey.
J. Netw. Comput. Appl., 2022

Aerial Computing: A New Computing Paradigm, Applications, and Challenges.
IEEE Internet Things J., 2022

Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing.
IEEE Internet Things J., 2022

6G Internet of Things: A Comprehensive Survey.
IEEE Internet Things J., 2022

Blockchain for Edge of Things: Applications, Opportunities, and Challenges.
IEEE Internet Things J., 2022

A survey on blockchain for big data: Approaches, opportunities, and future directions.
Future Gener. Comput. Syst., 2022

Blockchained Federated Learning for Privacy and Security Preservation: Practical Example of Diagnosing Cerebellar Ataxia.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Federated Learning for Industrial Internet of Things in Future Industries.
IEEE Wirel. Commun., 2021

Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2021

Swarm intelligence for next-generation networks: Recent advances and applications.
J. Netw. Comput. Appl., 2021

Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions.
IEEE Internet Things Mag., 2021

BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain.
IEEE Internet Things J., 2021

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges.
IEEE Internet Things J., 2021

Federated Learning for Internet of Things: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2021

Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective.
IEEE Commun. Surv. Tutorials, 2021

Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey.
IEEE Access, 2021

Utility Optimization for Blockchain Empowered Edge Computing with Deep Reinforcement Learning.
Proceedings of the ICC 2021, 2021

A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

Diagnosis Cerebellar Ataxia using Deep Learning with Time Series Transformed Image.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Reinforcement Learning for Collaborative Offloading in Heterogeneous Edge Networks.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., 2020

Blockchain for 5G and beyond networks: A state of the art survey.
J. Netw. Comput. Appl., 2020

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications.
CoRR, 2020

Wireless AI: Enabling an AI-Governed Data Life Cycle.
CoRR, 2020

Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach.
CoRR, 2020

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges.
IEEE Commun. Surv. Tutorials, 2020

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts.
IEEE Access, 2020

Blockchain and Edge Computing for Decentralized EMRs Sharing in Federated Healthcare.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems.
IEEE Access, 2019

A Mobile Cloud based IoMT Framework for Automated Health Assessment and Management.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


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