Dinh C. Nguyen

According to our database, Dinh C. Nguyen authored at least 50 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FedXPro: Bayesian Inference for Mitigating Poisoning Attacks in IoT Federated Learning.

Pubudu L. Indrasiri, Dinh C. Nguyen, Bipasha Kashyap, Pubudu N. Pathirana, Yonina C. Eldar

IEEE Internet Things J., April, 2024

Federated learning for green and sustainable 6G IIoT applications.

Vu Khanh Quy, Dinh C. Nguyen, Dang Van Anh, Nguyen Minh Quy

Internet Things, April, 2024

Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework.

Van-Dinh Nguyen, Thang X. Vu, Nhan Thanh Nguyen, Dinh C. Nguyen, Markku J. Juntti, Nguyen Cong Luong, Dinh Thai Hoang, Diep N. Nguyen, Symeon Chatzinotas

IEEE J. Sel. Areas Commun., February, 2024

Private Knowledge Sharing in Distributed Learning: A Survey.

Yasas Supeksala, Dinh C. Nguyen, Ming Ding, Thilina Ranbaduge, Calson Chua, Jun Zhang, Jun Li, H. Vincent Poor

CoRR, 2024

Privacy-Preserving X-ray Image Enhancement: A GAN-Cybersecurity-Based Approach.

Quoc Bao Phan, Linh Nguyen, Tuy Tan Nguyen, Dinh C. Nguyen

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.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

IEEE Trans. Mob. Comput., April, 2023

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

Van Anh Dang, Quy Vu Khanh, Van-Hau Nguyen, Tien Nguyen, Dinh C. Nguyen

Sensors, 2023

Federated Learning for Smart Healthcare: A Survey.

Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang

ACM Comput. Surv., 2023

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

Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun

CoRR, 2023

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems.

Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han

CoRR, 2023

Holistic Survey of Privacy and Fairness in Machine Learning.

Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana

CoRR, 2023

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

Van-Dinh Nguyen, Thang X. Vu, Nhan Thanh Nguyen, Dinh C. Nguyen, Markku J. Juntti, Nguyen Cong Luong, Dinh Thai Hoang, Diep N. Nguyen, Symeon Chatzinotas

CoRR, 2023

HierSFL: Local Differential Privacy-Aided Split Federated Learning in Mobile Edge Computing.

Minh K. Quan, Dinh C. Nguyen, Van-Dinh Nguyen, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana

Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

Federated Learning with Provable Security Against Malicious Clients in IoT Networks.

Pubudu L. Indrasiri, Dinh C. Nguyen, Bipasha Kashyap, Pubudu N. Pathirana

Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning.

Dinh C. Nguyen, David J. Love, Christopher G. Brinton

Proceedings of the IEEE International Conference on Communications, 2023

Enabling Intelligent Traffic Steering in A Hierarchical Open Radio Access Network.

Van-Dinh Nguyen, Thang X. Vu, Nhan Thanh Nguyen, Dinh C. Nguyen, Markku J. Juntti, Nguyen Cong Luong, Dinh Thai Hoang, Diep N. Nguyen, Symeon Chatzinotas

Proceedings of the IEEE Global Communications Conference, 2023

Performance Evaluation of Fog-to-Cloud Computing Schemes for IoMT Systems Using Queuing Models.

Quy Vu Khanh, Abdellah Chehri, Quy Nguyen Minh, Dang Van Anh, Dinh C. Nguyen

Proceedings of the IEEE Global Communications Conference, 2023

Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms.

Kanishka Ranaweera, David B. Smith, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges.

Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya

IEEE Netw., 2022

Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing.

Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton

IEEE J. Sel. Areas Commun., 2022

Incentive techniques for the Internet of Things: A survey.

Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Ons Aouedi, Gokul Yenduri, Sweta Bhattacharya, Thippa Reddy Gadekallu

J. Netw. Comput. Appl., 2022

Aerial Computing: A New Computing Paradigm, Applications, and Challenges.

Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang

IEEE Internet Things J., 2022

Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y. Zomaya

IEEE Internet Things J., 2022

6G Internet of Things: A Comprehensive Survey.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia A. Dobre, H. Vincent Poor

IEEE Internet Things J., 2022

Blockchain for Edge of Things: Applications, Opportunities, and Challenges.

Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, Natarajan Deepa, B. Prabadevi, Pubudu N. Pathirana, Jun Zhao, Won-Joo Hwang

IEEE Internet Things J., 2022

A survey on blockchain for big data: Approaches, opportunities, and future directions.

Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, B. Prabadevi, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana

Future Gener. Comput. Syst., 2022

Blockchained Federated Learning for Privacy and Security Preservation: Practical Example of Diagnosing Cerebellar Ataxia.

Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, Louise A. Corben, Malcolm Horne, David J. Szmulewicz

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.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

IEEE Wirel. Commun., 2021

Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Trans. Netw. Sci. Eng., 2021

Swarm intelligence for next-generation networks: Recent advances and applications.

Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang

J. Netw. Comput. Appl., 2021

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

Prabadevi B, Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, M. Praveen Kumar Reddy, G. Thippa Reddy, Pubudu N. Pathirana, Octavia A. Dobre

IEEE Internet Things Mag., 2021

BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Internet Things J., 2021

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges.

Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

IEEE Internet Things J., 2021

Federated Learning for Internet of Things: A Comprehensive Survey.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

IEEE Commun. Surv. Tutorials, 2021

Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective.

Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor

IEEE Commun. Surv. Tutorials, 2021

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

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne

IEEE Access, 2021

Utility Optimization for Blockchain Empowered Edge Computing with Deep Reinforcement Learning.

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

Proceedings of the ICC 2021, 2021

A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

Diagnosis Cerebellar Ataxia using Deep Learning with Time Series Transformed Image.

Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz

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.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Trans. Netw. Serv. Manag., 2020

Blockchain for 5G and beyond networks: A state of the art survey.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

J. Netw. Comput. Appl., 2020

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

Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang

CoRR, 2020

Wireless AI: Enabling an AI-Governed Data Life Cycle.

Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor

CoRR, 2020

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

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

CoRR, 2020

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Commun. Surv. Tutorials, 2020

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

Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Won-Joo Hwang, Pubudu N. Pathirana

IEEE Access, 2020

Blockchain and Edge Computing for Decentralized EMRs Sharing in Federated Healthcare.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

Proceedings of the IEEE Global Communications Conference, 2020

2019

Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems.

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

IEEE Access, 2019

A Mobile Cloud based IoMT Framework for Automated Health Assessment and Management.

Dinh C. Nguyen, Khoa D. Nguyen, Pubudu N. Pathirana

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019