Federated Learning for Smart Mobility: Towards Secure, Efficient, and Sustainable Transportation System (Paperback) (ISBN-13: 9789819561599)

Jiaming Pei is a Ph.D. candidate in Computer Science at the University of Sydney, Australia. His research focuses on federated learning, trustworthy AI, and their applications in intelligent transportation and IoT. He has published in prestigious journals including IEEE TITS, IEEE TCE, IEEE TAI, etc.

Lukun Wang received his Ph.D. from the Ocean University of China in 2016. He is currently an Associate Professor and Master Supervisor at the School of Intelligent Equipment, Shandong University of Science and Technology. His research interests encompass artificial intelligence, computer vision, big data, and the Internet of Things. Dr. Wang also serves as an specially invited reviewer for the IEEE.

Minghui Dai is a faculty member and Master's supervisor at Donghua University, China. He received his Ph.D. from Shanghai University and was a postdoctoral researcher at the University of Macau. His research spans wireless communications, cloud-edge collaboration, and IoT security. Dr. Dai has published in leading IEEE journals and has received multiple Best Paper Awards from international conferences.