Dr. Dinh Nguyen

The wireless Internet-of-Things (IoT) is becoming increasingly prevalent in various aspects of our daily lives, thanks to the growing number of intelligent services and applications driven by artificial intelligence (AI). Traditionally, AI techniques require centralized IoT data collection and processing that may not be feasible in realistic application scenarios due to the high scalability of modern IoT networks and growing data privacy concerns. Federated Learning (FL) has emerged as a distributed collaborative AI approach that can enable resilient IoT applications, by allowing for AI training at distributed IoT devices without the need for data sharing. In this talk, we will introduce the FL concept and its enabling technologies for FL over wireless IoT networks. In particular, we will present the state-of-the-art of FL with recent advances, key services and applications in wireless IoT networks. The importance of FL to current IoT ecosystems will be explored, focusing on its role in safeguarding data privacy, improving AI model training, and conserving network communication resources. The fundamental impacts of wireless communications on the performance of FL in IoT networks will be also investigated. Two case studies on the applications of FL in wireless IoT systems will be given, including FL for safe health data analytics and FL for satellite networks. Finally, we will point out several promising directions for future research in this booming area.

Biography:

Dinh Nguyen is an assistant professor at the Department of Electrical and Computer Engineering, The University of Alabama in Huntsville (UAH). He worked as a postdoctoral research associate at Purdue University from 2022 to 2023. He obtained the Ph.D. degree in computer science from Deakin University, Australia in 2021. He is leading the Networking, Intelligence, and Security (NIS) group at UAH, focusing on the intersection of secure wireless networking and distributed learning. He has published over 50 papers (including over 25 first-authored papers) in top-tier IEEE/ACM conferences and journals such as IEEE JSAC, IEEE COMST, IEEE TMC, and IEEE IoTJ. He is an Editor of the IEEE Internet of Things Journal, IEEE Open Journal of the Communications Society, and ACM Computing Surveys Journal. He is a technical program chair of the 6G connectivity workshop at the IEEE Wireless Communications and Networking Conference (WCNC) 2024 conference. He received the Best Editor Award from IEEE Open Journal of Communications Society in 2023. For details, visit the https://sites.google.com/view/dinh-chi-nguyen/home.