Dinh C. Nguyen

130 papers B 6C 1Journal 104Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIRS-Assisted Wireless Power Transfer for Internet of Energy: Cybersecurity Challenges and Solutions. IEEE Netw. Vu Khanh Quy, Nguyen Minh Quy, Shaba Shaon, Md Raihan Uddin, Dinh C. Nguyen
2026	—	`conf`	Adaptive Semantic Communications for Time-Critical 6G Wireless Networks. CCNC Md. Bokhtiar-Al-Zami, Atit Pokharel, Dinh C. Nguyen
2026	J	`jnl`	Communication-Efficient Quantum Federated Learning Over Large-Scale Wireless Networks. IEEE Trans. Netw. Shaba Shaon, Christopher G. Brinton, Dinh C. Nguyen
2026	J	`jnl`	Communication-Efficient Quantum Federated Learning over Large-Scale Wireless Networks. CoRR Shaba Shaon, Christopher G. Brinton, Dinh C. Nguyen
2026	J	`jnl`	Empowering IIoT With Federated Edge Learning for Human Activity Recognition Problems. IEEE Internet Things J. Dang Nhat Minh, Abdellah Chehri, Dang Van Anh, Van-Hau Nguyen, Nguyen Minh Quy, Dinh C. Nguyen, Vu Khanh Quy, Gwanggil Jeon
2026	J	`jnl`	Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things. IEEE Internet Things J. Ratun Rahman, Dinh C. Nguyen
2026	J	`jnl`	Federated Learning for Cyber Physical Systems: A Comprehensive Survey. IEEE Commun. Surv. Tutorials Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara, Sujeeva Setunge, Dinh C. Nguyen, Christopher G. Brinton, David J. Love, H. Vincent Poor
2026	J	`jnl`	Industrial Metaverse: Enabling Technologies, Open Problems, and Future Trends. IEEE Commun. Surv. Tutorials Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wen Chen, Zhu Han
2026	J	`jnl`	Latency-Aware Multimodal Federated Learning Over UAV Networks. IEEE Trans. Netw. Sci. Eng. Shaba Shaon, Dinh C. Nguyen
2026	J	`jnl`	Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization. CoRR Ratun Rahman, Dinh C. Nguyen
2026	J	`jnl`	Quantum Federated Learning: A Comprehensive Survey. IEEE Commun. Surv. Tutorials Md Raihan Uddin, Shaba Shaon, Ratun Rahman, Dinh C. Nguyen, Octavia A. Dobre, Dusit Niyato
2026	—	`conf`	Resource-Efficient Distributed Quantum Learning over Wireless Networks with Qubit Reuse. CCNC Shaba Shaon, Atit Pokharel, Alexander Coutras, Avimanyu Sahoo, Dinh C. Nguyen
2026	J	`jnl`	Secure UAV-Assisted Federated Learning: A Digital Twin-Driven Approach With Zero-Knowledge Proofs. IEEE Internet Things J. Md. Bokhtiar-Al-Zami, Md Raihan Uddin, Dinh C. Nguyen
2026	J	`jnl`	Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach. CoRR Ratun Rahman, Shaba Shaon, Dinh C. Nguyen
2026	J	`jnl`	Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach. IEEE Trans. Computers Ratun Rahman, Shaba Shaon, Dinh C. Nguyen
2026	J	`jnl`	Toward Personalized Quantum Federated Learning for Anomaly Detection. IEEE Trans. Netw. Sci. Eng. Ratun Rahman, Sina Shaham, Dinh C. Nguyen
2025	J	`jnl`	A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. IEEE Commun. Surv. Tutorials Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C. Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham
2025	J	`jnl`	Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data. CoRR Kanishka Ranaweera, Dinh C. Nguyen, Pubudu N. Pathirana, David B. Smith, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne
2025	J	`jnl`	Differentially Private Federated Quantum Learning via Quantum Noise. CoRR Atit Pokharel, Ratun Rahman, Shaba Shaon, Thomas Morris, Dinh C. Nguyen
2025	J	`jnl`	Digital Twin in Industries: A Comprehensive Survey. IEEE Access Md. Bokhtiar-Al-Zami, Shaba Shaon, Vu Khanh Quy, Dinh C. Nguyen
2025	J	`jnl`	Electrical Load Forecasting Over Multihop Smart Metering Networks With Federated Learning. IEEE Internet Things J. Ratun Rahman, Pablo Moriano, Samee U. Khan, Dinh C. Nguyen
2025	—	`conf`	Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach. CCNC Ratun Rahman, Neeraj Kumar, Dinh C. Nguyen
2025	J	`jnl`	Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning. CoRR Ratun Rahman, Pablo Moriano, Samee U. Khan, Dinh C. Nguyen
2025	J	`jnl`	Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning. CoRR Shaba Shaon, Md Raihan Uddin, Dinh C. Nguyen, Seyyedali Hosseinalipour, Dusit Niyato, Octavia A. Dobre
2025	J	`jnl`	Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things. CoRR Ratun Rahman, Dinh C. Nguyen
2025	—	`conf`	False Data Injection Attack Detection in Edge-Based Smart Metering Networks with Federated Learning. CCNC Md Raihan Uddin, Ratun Rahman, Dinh C. Nguyen
2025	J	`jnl`	Federated Learning for Cyber Physical Systems: A Comprehensive Survey. CoRR Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara, Sujeeva Setunge, Dinh C. Nguyen, Christopher G. Brinton, David J. Love, H. Vincent Poor
2025	J	`jnl`	Federated Learning with Differential Privacy: An Utility-Enhanced Approach. CoRR Kanishka Ranaweera, Dinh C. Nguyen, Pubudu N. Pathirana, David B. Smith, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne
2025	—	`conf`	Federated Split Learning for Human Activity Recognition with Differential Privacy. CCNC Josue Ndeko, Shaba Shaon, Aubrey Beal, Avimanyu Sahoo, Dinh C. Nguyen
2025	J	`jnl`	Latency Optimization for Wireless Federated Learning in Multihop Networks. CoRR Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen
2025	J	`jnl`	Latency Optimization for Wireless Federated Learning in Multihop Networks. IEEE Trans. Veh. Technol. Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen
2025	J	`jnl`	Latency-aware Multimodal Federated Learning over UAV Networks. CoRR Shaba Shaon, Dinh C. Nguyen
2025	J	`jnl`	Multimodal Federated Learning for Air Quality Estimation With Model Personalization Over Aerial-Ground Networks. IEEE Geosci. Remote. Sens. Lett. Ratun Rahman, Falguni Patadia, Jinhui Wang, Dinh C. Nguyen
2025	J	`jnl`	Privacy and Fairness in Machine Learning: A Survey. IEEE Trans. Artif. Intell. Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2025	—	`conf`	Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach. CVPR Workshops Atit Pokharel, Ratun Rahman, Thomas Morris, Dinh C. Nguyen
2025	J	`jnl`	Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach. CoRR Atit Pokharel, Ratun Rahman, Thomas Morris, Dinh C. Nguyen
2025	J	`jnl`	Quantum Federated Learning: A Comprehensive Survey. CoRR Dinh C. Nguyen, Md Raihan Uddin, Shaba Shaon, Ratun Rahman, Octavia A. Dobre, Dusit Niyato
2025	J	`jnl`	Secure UAV-assisted Federated Learning: A Digital Twin-Driven Approach with Zero-Knowledge Proofs. CoRR Md. Bokhtiar-Al-Zami, Md Raihan Uddin, Dinh C. Nguyen
2025	J	`jnl`	SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization. CoRR Ratun Rahman, Atit Pokharel, Md Raihan Uddin, Dinh C. Nguyen
2025	J	`jnl`	SoK: Private Knowledge Sharing in Distributed Learning. Proc. Priv. Enhancing Technol. Yasas Supeksala, Thilina Ranbaduge, Ming Ding, Dinh C. Nguyen, Bo Liu, Caslon Chua, Jun Zhang
2025	—	`conf`	Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise. CVPR Workshops Ratun Rahman, Atit Pokharel, Dinh C. Nguyen
2025	J	`jnl`	Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise. CoRR Ratun Rahman, Atit Pokharel, Dinh C. Nguyen
2025	J	`jnl`	Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions. CoRR Ratun Rahman, Dinh C. Nguyen, Christo Kurisummoottil Thomas, Walid Saad
2025	J	`jnl`	Towards Personalized Quantum Federated Learning for Anomaly Detection. CoRR Ratun Rahman, Sina Shaham, Dinh C. Nguyen
2025	J	`jnl`	Vehicle-to-Everything Cooperative Perception for Autonomous Driving. Proc. IEEE Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun
2025	J	`jnl`	When Quantum Federated Learning Meets Blockchain in 6G Networks. CoRR Dinh C. Nguyen, Md. Bokhtiar-Al-Zami, Ratun Rahman, Shaba Shaon, Tuy Tan Nguyen, Fatemeh Afghah
2024	J	`jnl`	A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. CoRR Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C. Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham
2024	B	`conf`	An Software Defined Networking (SDN) Enhanced Edge Computing Framework for Internet of Healthcare Things (IoHT). GLOBECOM Dang Van Anh, Abdellah Chehri, Nguyen Minh Quy, Chu Thi Minh Hue, Dinh C. Nguyen, Vu Khanh Quy
2024	J	`jnl`	Digital Twin in Industries: A Comprehensive Survey. CoRR Md. Bokhtiar-Al-Zami, Shaba Shaon, Vu Khanh Quy, Dinh C. Nguyen
2024	J	`jnl`	Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach. CoRR Ratun Rahman, Neeraj Kumar, Dinh C. Nguyen
2024	J	`jnl`	False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning. CoRR Md Raihan Uddin, Ratun Rahman, Dinh C. Nguyen
2024	J	`jnl`	FedXPro: Bayesian Inference for Mitigating Poisoning Attacks in IoT Federated Learning. IEEE Internet Things J. Pubudu L. Indrasiri, Dinh C. Nguyen, Bipasha Kashyap, Pubudu N. Pathirana, Yonina C. Eldar
2024	—	`conf`	Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness. EMBC Quoc Bao Phan, Linh Nguyen, Ngoc Thang Bui, Dinh C. Nguyen, Lan Zhang, Tuy Tan Nguyen
2024	J	`jnl`	Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges. IEEE Open J. Commun. Soc. Ons Aouedi, Alessio Sacco, Latif U. Khan, Dinh C. Nguyen, Mohsen Guizani
2024	J	`jnl`	Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems. IEEE Trans. Intell. Transp. Syst. Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han
2024	J	`jnl`	Federated Split Learning for Human Activity Recognition with Differential Privacy. CoRR Josue Ndeko, Shaba Shaon, Aubrey Beal, Avimanyu Sahoo, Dinh C. Nguyen
2024	J	`jnl`	Federated learning for green and sustainable 6G IIoT applications. Internet Things Vu Khanh Quy, Dinh C. Nguyen, Dang Van Anh, Nguyen Minh Quy
2024	—	`conf`	From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks. CSCN Vu Khanh Quy, Nguyen Minh Quy, Tran Thi Hoai, Shaba Shaon, Md Raihan Uddin, Tien Nguyen, Dinh C. Nguyen, Aryan Kaushik, Periklis Chatzimisios
2024	J	`jnl`	From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks. CoRR Vu Khanh Quy, Nguyen Minh Quy, Tran Thi Hoai, Shaba Shaon, Md Raihan Uddin, Tien Nguyen, Dinh C. Nguyen, Aryan Kaushik, Periklis Chatzimisios
2024	J	`jnl`	Guest Editorial: Federated Learning for Industrial Internet of Things. IEEE Internet Things Mag. Dinh C. Nguyen, Viet Quoc Pham, Seyyedali Hosseinalipour, Zehui Xiong, Tuan M. Hoang Trong, Yonina C. Eldar
2024	J	`jnl`	HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing. CoRR Minh K. Quan, Dinh C. Nguyen, Van-Dinh Nguyen, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana
2024	J	`jnl`	Improved Modulation Recognition Using Personalized Federated Learning. IEEE Trans. Veh. Technol. Ratun Rahman, Dinh C. Nguyen
2024	J	`jnl`	Industrial Metaverse: Enabling Technologies, Open Problems, and Future Trends. CoRR Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wen Chen, Zhu Han
2024	J	`jnl`	Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework. IEEE J. Sel. Areas Commun. 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
2024	C	`conf`	Privacy-Preserving X-ray Image Enhancement: A GAN-Cybersecurity-Based Approach. ICCE Quoc Bao Phan, Linh Nguyen, Tuy Tan Nguyen, Dinh C. Nguyen
2024	J	`jnl`	Private Knowledge Sharing in Distributed Learning: A Survey. CoRR Yasas Supeksala, Dinh C. Nguyen, Ming Ding, Thilina Ranbaduge, Calson Chua, Jun Zhang, Jun Li, H. Vincent Poor
2024	—	`conf`	Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting. CSCN Habib Ullah Manzoor, Attia Shabiar, Dinh C. Nguyen, Lina S. Mohjazi, Aryan Kaushik, Ahmed Zoha
2024	J	`jnl`	Toward Privacy-Preserving Waste Classification in the Internet of Things. IEEE Internet Things J. Minh K. Quan, Dinh C. Nguyen, Van-Dinh Nguyen, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana
2024	—	`conf`	Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication. CSCN Shaba Shaon, Tien Nguyen, Lina S. Mohjazi, Aryan Kaushik, Dinh C. Nguyen
2024	J	`jnl`	Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication. CoRR Shaba Shaon, Tien Nguyen, Lina S. Mohjazi, Aryan Kaushik, Dinh C. Nguyen
2023	J	`jnl`	Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning. IEEE Trans. Mob. Comput. Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2023	B	`conf`	Enabling Intelligent Traffic Steering in A Hierarchical Open Radio Access Network. GLOBECOM 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
2023	J	`jnl`	Federated Learning for Smart Healthcare: A Survey. ACM Comput. Surv. Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
2023	J	`jnl`	Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems. CoRR Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han
2023	—	`conf`	Federated Learning with Provable Security Against Malicious Clients in IoT Networks. VCC Pubudu L. Indrasiri, Dinh C. Nguyen, Bipasha Kashyap, Pubudu N. Pathirana
2023	—	`conf`	HierSFL: Local Differential Privacy-Aided Split Federated Learning in Mobile Edge Computing. VCC Minh K. Quan, Dinh C. Nguyen, Van-Dinh Nguyen, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana
2023	J	`jnl`	Holistic Survey of Privacy and Fairness in Machine Learning. CoRR Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2023	B	`conf`	Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms. IEEE Big Data Kanishka Ranaweera, David B. Smith, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne
2023	J	`jnl`	Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity. Sensors Van Anh Dang, Quy Vu Khanh, Van-Hau Nguyen, Tien Nguyen, Dinh C. Nguyen
2023	—	`conf`	Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning. ICC Dinh C. Nguyen, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Network-Aided Intelligent Traffic Steering in 6G ORAN: A Multi-Layer Optimization Framework. CoRR 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
2023	B	`conf`	Performance Evaluation of Fog-to-Cloud Computing Schemes for IoMT Systems Using Queuing Models. GLOBECOM Quy Vu Khanh, Abdellah Chehri, Quy Nguyen Minh, Dang Van Anh, Dinh C. Nguyen
2023	J	`jnl`	V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges. CoRR Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun
2022	J	`jnl`	6G Internet of Things: A Comprehensive Survey. IEEE Internet Things J. Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia A. Dobre, H. Vincent Poor
2022	J	`jnl`	A survey on blockchain for big data: Approaches, opportunities, and future directions. Future Gener. Comput. Syst. Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, B. Prabadevi, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana
2022	J	`jnl`	Aerial Computing: A New Computing Paradigm, Applications, and Challenges. CoRR Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang
2022	J	`jnl`	Aerial Computing: A New Computing Paradigm, Applications, and Challenges. IEEE Internet Things J. Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang
2022	J	`jnl`	Blockchain for Edge of Things: Applications, Opportunities, and Challenges. IEEE Internet Things J. 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
2022	—	`conf`	Blockchained Federated Learning for Privacy and Security Preservation: Practical Example of Diagnosing Cerebellar Ataxia. EMBC Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, Louise A. Corben, Malcolm Horne, David J. Szmulewicz
2022	J	`jnl`	Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing. IEEE Internet Things J. Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y. Zomaya
2022	J	`jnl`	Incentive techniques for the Internet of Things: A survey. J. Netw. Comput. Appl. Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Ons Aouedi, Gokul Yenduri, Sweta Bhattacharya, Thippa Reddy Gadekallu
2022	J	`jnl`	Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges. IEEE Netw. Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya
2022	J	`jnl`	Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges. CoRR Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya
2022	J	`jnl`	Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. CoRR Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton
2022	J	`jnl`	Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. IEEE J. Sel. Areas Commun. Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton
2021	—	`conf`	A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain. IEEE ICBC Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2021	J	`jnl`	A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain. CoRR Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2021	J	`jnl`	Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts. CoRR Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Won-Joo Hwang, Pubudu N. Pathirana
2021	J	`jnl`	BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain. IEEE Internet Things J. Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2021	J	`jnl`	Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey. IEEE Access Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne
2021	J	`jnl`	Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey. CoRR Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne
2021	J	`jnl`	Blockchain for Edge of Things: Applications, Opportunities, and Challenges. CoRR Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, Natarajan Deepa, Prabadevi B, Pubudu N. Pathirana, Jun Zhao, Won-Joo Hwang
2021	B	`conf`	Deep Reinforcement Learning for Collaborative Offloading in Heterogeneous Edge Networks. CCGRID Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2021	—	`conf`	Diagnosis Cerebellar Ataxia using Deep Learning with Time Series Transformed Image. EMBC Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz
2021	J	`jnl`	Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective. IEEE Commun. Surv. Tutorials Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor
2021	J	`jnl`	Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges. CoRR Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor
2021	J	`jnl`	Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges. IEEE Internet Things J. Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor
2021	J	`jnl`	Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing. CoRR Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y. Zomaya
2021	J	`jnl`	Federated Learning for Industrial Internet of Things in Future Industries. CoRR Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor
2021	J	`jnl`	Federated Learning for Industrial Internet of Things in Future Industries. IEEE Wirel. Commun. Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor
2021	J	`jnl`	Federated Learning for Internet of Things: A Comprehensive Survey. IEEE Commun. Surv. Tutorials Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021	J	`jnl`	Federated Learning for Smart Healthcare: A Survey. CoRR Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
2021	J	`jnl`	Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning. IEEE Trans. Netw. Sci. Eng. Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2021	J	`jnl`	Swarm intelligence for next-generation networks: Recent advances and applications. J. Netw. Comput. Appl. Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang
2021	J	`jnl`	Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions. CoRR Prabadevi B, Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, G. Thippa Reddy, Pubudu N. Pathirana, Octavia A. Dobre
2021	J	`jnl`	Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions. IEEE Internet Things Mag. Prabadevi B, Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, M. Praveen Kumar Reddy, G. Thippa Reddy, Pubudu N. Pathirana, Octavia A. Dobre
2021	—	`conf`	Utility Optimization for Blockchain Empowered Edge Computing with Deep Reinforcement Learning. ICC Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2020	J	`jnl`	A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions. CoRR Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, Prabadevi B, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana
2020	J	`jnl`	Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts. IEEE Access Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Won-Joo Hwang, Pubudu N. Pathirana
2020	B	`conf`	Blockchain and Edge Computing for Decentralized EMRs Sharing in Federated Healthcare. GLOBECOM Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2020	J	`jnl`	Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach. CoRR Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2020	J	`jnl`	Blockchain for 5G and beyond networks: A state of the art survey. J. Netw. Comput. Appl. Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2020	J	`jnl`	Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges. IEEE Commun. Surv. Tutorials Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2020	J	`jnl`	Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2020	J	`jnl`	Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications. CoRR Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang
2020	J	`jnl`	Wireless AI: Enabling an AI-Governed Data Life Cycle. CoRR Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor
2019	—	`conf`	A Mobile Cloud based IoMT Framework for Automated Health Assessment and Management. EMBC Dinh C. Nguyen, Khoa D. Nguyen, Pubudu N. Pathirana
2019	J	`jnl`	Blockchain for 5G and Beyond Networks: A State of the Art Survey. CoRR Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2019	J	`jnl`	Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems. IEEE Access Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
2019	J	`jnl`	Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges. CoRR Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne