Dinh C. Nguyen
Orcid: 0000-0002-8092-6756
According to our database1,
Dinh C. Nguyen
authored at least 57 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Internet Things Mag., September, 2024
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
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
Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges.
IEEE Open J. Commun. Soc., 2024
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning.
CoRR, 2024
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks.
CoRR, 2024
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions.
CoRR, 2024
CoRR, 2024
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
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
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
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
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
J. Netw. Comput. Appl., 2022
IEEE Internet Things J., 2022
Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing.
IEEE Internet Things J., 2022
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
IEEE Wirel. Commun., 2021
Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2021
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
IEEE Internet Things J., 2021
IEEE Commun. Surv. Tutorials, 2021
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
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
J. Netw. Comput. Appl., 2020
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications.
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
IEEE Access, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019