Ding, Ming

Federated Learning With Differential Privacy: Algorithms and Performance Analysis

Wei, K., Li, J., Ding, M., Ma, C., Yang, H. H., Farokhi, F., Jin, S., Quek, T. Q. S., & Vincent Poor, H. (2020) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 2,400

Federated learning for smart healthcare: A survey

Nguyen, D. C., Pham, Q.-V., Pathirana, P. N., Ding, M., Seneviratne, A., Lin, Z., Dobre, O., & Hwang, W.-J. (2023) · ACM Computing Surveys

Privacy-Preserving Technologies in DataInternet of Things and AI

Cited by 827

Federated learning meets blockchain in edge computing: Opportunities and challenges

Nguyen, D. C., Ding, M., Pham, Q.-V., Pathirana, P. N., Le, L. B., Seneviratne, A., Li, J., Niyato, D., & Poor, H. V. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 661

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

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2019) · IEEE Access

Blockchain Technology Applications and SecurityCloud Data Security Solutions

Cited by 574

The impact of adverse weather conditions on autonomous vehicles: How rain, snow, fog, and hail affect the performance of a self-driving car

Zang, S., Ding, M., Smith, D., Tyler, P., Rakotoarivelo, T., & Kaafar, M. A. (2019) · IEEE Vehicular Technology Magazine

Autonomous Vehicle Technology and SafetyRadar Systems and Signal Processing

Cited by 457

When Machine Learning Meets Privacy: A Survey and Outlook

Liu, B., Ding, M., Shaham, S., Rahayu, W., Farokhi, F., & Lin, Z. (2022) · ACM Computing Surveys

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 455

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

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications

Blockchain Technology Applications and SecuritySoftware-Defined Networks and 5G

Cited by 412

On Safeguarding Privacy and Security in the Framework of Federated Learning

Ma, C., Li, J., Ding, M., Yang, H. H., Shu, F., Quek, T. Q. S., & Poor, H. V. (2020) · IEEE Network

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 318

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

Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021) · IEEE Access

Blockchain Technology Applications and SecurityCOVID-19 Digital Contact Tracing

Cited by 286

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

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · IEEE Communications Surveys & Tutorials

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 261

When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

Ma, C., Li, J., Ding, M., Shi, L., Wang, T., Han, Z., & Poor, H. V. (2020) · arXiv

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 225

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

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2021) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 184

Privacy-preserved task offloading in mobile blockchain with deep reinforcement learning

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · IEEE Transactions on Network and Service Management

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 178

Federated Learning for Industrial Internet of Things in Future Industries

Nguyen, D. C., Ding, M., Pathirana, P. N., Seneviratne, A., Li, J., Niyato, D., & Poor, H. V. (2021) · IEEE Wireless Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 166

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

Nguyen, D. C., Cheng, P., Ding, M., Lopez-Perez, D., Pathirana, P. N., Li, J., Seneviratne, A., Li, Y., & Poor, H. V. (2021) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingAdvanced Wireless Communication Technologies

Cited by 160

Low-Latency Federated Learning Over Wireless Channels With Differential Privacy

Wei, K., Li, J., Ma, C., Ding, M., Chen, C., Jin, S., Han, Z., & Poor, H. V. (2022) · IEEE Journal on Selected Areas in Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 109

Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning

Ma, C., Li, J., Wei, K., Liu, B., Ding, M., Yuan, L., Han, Z., & Vincent Poor, H. (2023) · Proceedings of the IEEE

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 96

TI 2 Net: Temporal Identity Inconsistency Network for Deepfake Detection

Liu, B., Liu, B., Ding, M., Zhu, T., & Yu, X. (2023) · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 50

Secrecy Performance of the UAV Enabled Cognitive Relay Network

Chi-Nguyen, D., Pathirana, P. N., Ding, M., & Seneviratne, A. (2018) · 2018 IEEE 3rd International Conference on Communication and Information Systems (ICCIS)

Wireless Communication Security TechniquesUAV Applications and Optimization

Cited by 30

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

Nguyen, D. C., Ding, M., Pathirana, P. N., Seneviratne, A., & Zomaya, A. Y. (2022) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI

Cited by 5