A Mobile Cloud based IoMT Framework for Automated Health Assessment and Management. - Dinh C. Nguyen; Khoa D. Nguyen; Pubudu N. Pathirana (EMBC, 2019)

Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (IEEE Access, 2019)

Blockchain and Edge Computing for Decentralized EMRs Sharing in Federated Healthcare. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (GLOBECOM, 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)

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (IEEE Commun. Surv. Tutorials, 2020)

Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (CoRR, 2020)

Wireless AI: Enabling an AI-Governed Data Life Cycle. - Dinh C. Nguyen; Peng Cheng 002; Ming Ding 001; David López-Pérez; Pubudu N. Pathirana; Jun Li 004; Aruna Seneviratne; Yonghui Li 001; H. Vincent Poor (CoRR, 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)

Blockchain for 5G and beyond networks: A state of the art survey. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (J. Netw. Comput. Appl., 2020)

Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (IEEE Trans. Netw. Serv. Manag., 2020)

Deep Reinforcement Learning for Collaborative Offloading in Heterogeneous Edge Networks. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (CCGRID, 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 (EMBC, 2021)

A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (IEEE ICBC, 2021)

Utility Optimization for Blockchain Empowered Edge Computing with Deep Reinforcement Learning. - Dinh C. Nguyen; Ming Ding 001; Pubudu N. Pathirana; Aruna Seneviratne; Jun Li 004; H. Vincent Poor (ICC, 2021)

Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey. - Dinh C. Nguyen; Ming Ding 001; Pubudu N. Pathirana; Aruna Seneviratne (IEEE Access, 2021)

Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective. - Dinh C. Nguyen; Peng Cheng 002; Ming Ding 001; David López-Pérez; Pubudu N. Pathirana; Jun Li 004; Aruna Seneviratne; Yonghui Li 001; H. Vincent Poor (IEEE Commun. Surv. Tutorials, 2021)

Federated Learning for Internet of Things: A Comprehensive Survey. - Dinh C. Nguyen; Ming Ding 001; Pubudu N. Pathirana; Aruna Seneviratne; Jun Li 004; H. Vincent Poor (IEEE Commun. Surv. Tutorials, 2021)

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges. - Dinh C. Nguyen; Ming Ding 001; Quoc-Viet Pham; Pubudu N. Pathirana; Long Bao Le; Aruna Seneviratne; Jun Li 004; Dusit Niyato; H. Vincent Poor (IEEE Internet Things J., 2021)

BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (IEEE Internet Things J., 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)

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)

Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning. - Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne (IEEE Trans. Netw. Sci. Eng., 2021)

Federated Learning for Industrial Internet of Things in Future Industries. - Dinh C. Nguyen; Ming Ding 001; Pubudu N. Pathirana; Aruna Seneviratne; Jun Li 004; Dusit Niyato; H. Vincent Poor (IEEE Wirel. Commun., 2021)

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 (EMBC, 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 005; Pubudu N. Pathirana (Future Gener. Comput. Syst., 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 007; Won-Joo Hwang (IEEE Internet Things J., 2022)

6G Internet of Things: A Comprehensive Survey. - Dinh C. Nguyen; Ming Ding 001; Pubudu N. Pathirana; Aruna Seneviratne; Jun Li 004; Dusit Niyato; Octavia A. Dobre; H. Vincent Poor (IEEE Internet Things J., 2022)

Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing. - Dinh C. Nguyen; Ming Ding 001; Pubudu N. Pathirana; Aruna Seneviratne; Albert Y. Zomaya (IEEE Internet Things J., 2022)

Aerial Computing: A New Computing Paradigm, Applications, and Challenges. - Quoc-Viet Pham; Rukhsana Ruby; Fang Fang 005; Dinh C. Nguyen; Zhaohui Yang 001; Mai Le; Zhiguo Ding 001; Won-Joo Hwang (IEEE Internet Things J., 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)

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)

Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges. - Dinh C. Nguyen; Van-Dinh Nguyen; Ming Ding 001; Symeon Chatzinotas; Pubudu N. Pathirana; Aruna Seneviratne; Octavia A. Dobre; Albert Y. Zomaya (IEEE Netw., 2022)

Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms. - Kanishka Ranaweera; David B. Smith 001; Dinh C. Nguyen; Pubudu N. Pathirana; Ming Ding 001; Thierry Rakotoarivelo; Aruna Seneviratne (IEEE Big Data, 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 (GLOBECOM, 2023)

Enabling Intelligent Traffic Steering in A Hierarchical Open Radio Access Network. - Van-Dinh Nguyen; Thang X. Vu; Nhan Thanh Nguyen 001; Dinh C. Nguyen; Markku J. Juntti; Nguyen Cong Luong 001; Dinh Thai Hoang; Diep N. Nguyen; Symeon Chatzinotas (GLOBECOM, 2023)

Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning. - Dinh C. Nguyen; David J. Love; Christopher G. Brinton (ICC, 2023)

Federated Learning with Provable Security Against Malicious Clients in IoT Networks. - Pubudu L. Indrasiri; Dinh C. Nguyen; Bipasha Kashyap; Pubudu N. Pathirana (VCC, 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 (VCC, 2023)

Network-Aided Intelligent Traffic Steering in 6G ORAN: A Multi-Layer Optimization Framework. - Van-Dinh Nguyen; Thang X. Vu; Nhan Thanh Nguyen 001; Dinh C. Nguyen; Markku J. Juntti; Nguyen Cong Luong 001; Dinh Thai Hoang; Diep N. Nguyen; Symeon Chatzinotas (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)

V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges. - Tao Huang 008; Jianan Liu; Xi Zhou; Dinh C. Nguyen; Mostafa Rahimi Azghadi; Yuxuan Xia; Qing-Long Han; Sumei Sun (CoRR, 2023)

Federated Learning for Smart Healthcare: A Survey. - Dinh C. Nguyen; Quoc-Viet Pham; Pubudu N. Pathirana; Ming Ding 001; Aruna Seneviratne; Zihuai Lin; Octavia A. Dobre; Won-Joo Hwang (ACM Comput. Surv., 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)

Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning. - Dinh C. Nguyen; Ming Ding 001; Pubudu N. Pathirana; Aruna Seneviratne; Jun Li 004; H. Vincent Poor (IEEE Trans. Mob. Comput., 2023)

Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting. - Habib Ullah Manzoor; Attia Shabiar; Dinh C. Nguyen; Lina S. Mohjazi; Aryan Kaushik; Ahmed Zoha (CSCN, 2024)

From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks. - Vu Khanh Quy; Nguyen Minh Quy; Tran Thi Hoai; Shaba Shaon; Md Raihan Uddin; Tien Nguyen; Dinh C. Nguyen; Aryan Kaushik; Periklis Chatzimisios (CSCN, 2024)

Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication. - Shaba Shaon; Tien Nguyen; Lina S. Mohjazi; Aryan Kaushik; Dinh C. Nguyen (CSCN, 2024)

Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness. - Quoc Bao Phan; Linh Nguyen; Ngoc Thang Bui; Dinh C. Nguyen; Lan Zhang 008; Tuy Tan Nguyen (EMBC, 2024)

An Software Defined Networking (SDN) Enhanced Edge Computing Framework for Internet of Healthcare Things (IoHT). - Dang Van Anh; Abdellah Chehri; Nguyen Minh Quy; Chu Thi Minh Hue; Dinh C. Nguyen; Vu Khanh Quy (GLOBECOM, 2024)

Privacy-Preserving X-ray Image Enhancement: A GAN-Cybersecurity-Based Approach. - Quoc Bao Phan; Linh Nguyen; Tuy Tan Nguyen; Dinh C. Nguyen (ICCE, 2024)

Private Knowledge Sharing in Distributed Learning: A Survey. - Yasas Supeksala; Dinh C. Nguyen; Ming Ding 001; Thilina Ranbaduge; Calson Chua; Jun Zhang 010; Jun Li 004; H. Vincent Poor (CoRR, 2024)

Industrial Metaverse: Enabling Technologies, Open Problems, and Future Trends. - Shiying Zhang; Jun Li 004; Long Shi 001; Ming Ding 001; Dinh C. Nguyen; Wen Chen 001; Zhu Han 001 (CoRR, 2024)

Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges. - Ons Aouedi; Alessio Sacco; Latif U. Khan; Dinh C. Nguyen; Mohsen Guizani (IEEE Open J. Commun. Soc., 2024)

Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework. - Van-Dinh Nguyen; Thang X. Vu; Nhan Thanh Nguyen 001; Dinh C. Nguyen; Markku J. Juntti; Nguyen Cong Luong 001; Dinh Thai Hoang; Diep N. Nguyen; Symeon Chatzinotas (IEEE J. Sel. Areas Commun., 2024)

Federated learning for green and sustainable 6G IIoT applications. - Vu Khanh Quy; Dinh C. Nguyen; Dang Van Anh; Nguyen Minh Quy (Internet Things, 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., 2024)

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems. - Shiying Zhang; Jun Li 004; Long Shi 001; Ming Ding 001; Dinh C. Nguyen; Wuzheng Tan; Jian Weng 001; Zhu Han 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Toward Privacy-Preserving Waste Classification in the Internet of Things. - Minh K. Quan; Dinh C. Nguyen; Van-Dinh Nguyen; Mayuri Wijayasundara; Sujeeva Setunge; Pubudu N. Pathirana (IEEE Internet Things J., 2024)

Guest Editorial: Federated Learning for Industrial Internet of Things. - Dinh C. Nguyen; Viet Quoc Pham; Seyyedali Hosseinalipour; Zehui Xiong; Tuan M. Hoang Trong; Yonina C. Eldar (IEEE Internet Things Mag., 2024)

Improved Modulation Recognition Using Personalized Federated Learning. - Ratun Rahman; Dinh C. Nguyen (IEEE Trans. Veh. Technol., 2024)

Federated Split Learning for Human Activity Recognition with Differential Privacy. - Josue Ndeko; Shaba Shaon; Aubrey Beal; Avimanyu Sahoo; Dinh C. Nguyen (CCNC, 2025)

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach. - Ratun Rahman; Neeraj Kumar; Dinh C. Nguyen (CCNC, 2025)

False Data Injection Attack Detection in Edge-Based Smart Metering Networks with Federated Learning. - Md Raihan Uddin; Ratun Rahman; Dinh C. Nguyen (CCNC, 2025)

Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach. - Atit Pokharel; Ratun Rahman; Thomas Morris; Dinh C. Nguyen (CVPR Workshops, 2025)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise. - Ratun Rahman; Atit Pokharel; Dinh C. Nguyen (CVPR Workshops, 2025)

Digital Twin in Industries: A Comprehensive Survey. - Md. Bokhtiar-Al-Zami; Shaba Shaon; Vu Khanh Quy; Dinh C. Nguyen (IEEE Access, 2025)

Multimodal Federated Learning for Air Quality Estimation With Model Personalization Over Aerial-Ground Networks. - Ratun Rahman; Falguni Patadia; Jinhui Wang; Dinh C. Nguyen (IEEE Geosci. Remote. Sens. Lett., 2025)

SoK: Private Knowledge Sharing in Distributed Learning. - Yasas Supeksala; Thilina Ranbaduge; Ming Ding 001; Dinh C. Nguyen; Bo Liu 001; Caslon Chua; Jun Zhang 010 (Proc. Priv. Enhancing Technol., 2025)

Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning. - Ratun Rahman; Pablo Moriano; Samee U. Khan; Dinh C. Nguyen (CoRR, 2025)

Federated Learning with Differential Privacy: An Utility-Enhanced Approach. - Kanishka Ranaweera; Dinh C. Nguyen; Pubudu N. Pathirana; David B. Smith 001; Ming Ding 001; Thierry Rakotoarivelo; Aruna Seneviratne (CoRR, 2025)

Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data. - Kanishka Ranaweera; Dinh C. Nguyen; Pubudu N. Pathirana; David B. Smith 001; Ming Ding 001; Thierry Rakotoarivelo; Aruna Seneviratne (CoRR, 2025)

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. - Ons Aouedi; Thai-Hoc Vu; Alessio Sacco; Dinh C. Nguyen; Kandaraj Piamrat; Guido Marchetto; Quoc-Viet Pham (IEEE Commun. Surv. Tutorials, 2025)

Federated Learning for Cyber Physical Systems: A Comprehensive Survey. - Minh K. Quan; Pubudu N. Pathirana; Mayuri Wijayasundara; Sujeeva Setunge; Dinh C. Nguyen; Christopher G. Brinton; David J. Love; H. Vincent Poor (CoRR, 2025)

Latency Optimization for Wireless Federated Learning in Multihop Networks. - Shaba Shaon; Van-Dinh Nguyen; Dinh C. Nguyen (CoRR, 2025)

Privacy and Fairness in Machine Learning: A Survey. - Sina Shaham; Arash Hajisafi; Minh K. Quan; Dinh C. Nguyen; Bhaskar Krishnamachari; Charith Peris; Gabriel Ghinita; Cyrus Shahabi; Pubudu N. Pathirana (IEEE Trans. Artif. Intell., 2025)