Federated Learning for Smart Mobility: Towards Secure, Efficient, and Sustainable Transportation System
暫譯: 聯邦學習在智慧交通中的應用：邁向安全、高效及可持續的運輸系統

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.

裴家銘是澳洲悉尼大學的計算機科學博士候選人。他的研究專注於聯邦學習、可信賴的人工智慧及其在智慧交通和物聯網中的應用。他曾在包括 IEEE TITS、IEEE TCE、IEEE TAI 等知名期刊上發表論文。 王璐琨於2016年獲得中國海洋大學的博士學位。目前，他是山東科技大學智能設備學院的副教授及碩士生導師。他的研究興趣涵蓋人工智慧、計算機視覺、大數據及物聯網。王博士同時擔任 IEEE 的特邀審稿人。 戴明輝是中國東華大學的教職員及碩士生導師。他於上海大學獲得博士學位，並曾在澳門大學擔任博士後研究員。他的研究範疇包括無線通信、雲邊協作及物聯網安全。戴博士在領先的 IEEE 期刊上發表過多篇論文，並在國際會議上獲得多項最佳論文獎。