Cross-device Federated Recommendation

Xiangjie Kong received the B.Sc. and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 2004 and 2009, respectively. He is a professor with College of Computer Science and Technology, Zhejiang University of Technology, China. Previously, he was an associate professor with the School of Software, Dalian University of Technology, China. He has published over 200 scientific papers in international journals and conferences (with over 180 indexed by ISI SCIE). His research interests include social computing, mobile computing, and data science. He is a senior member of the IEEE, a distinguished member of CCF, and a member of ACM.Lingyun Wang received his Master degree from College of Computer Science and Technology, Zhejiang University of Technology, China, in 2024. His main research interests are recommender systems, federated learning, and knowledge discovery.Mengmeng Wang received the PhD degree in control science and engineering from Zhejiang University in 2024. She is currently an assistant professor in the College of Computer Science and Technology, Zhejiang University of Technology. Her research interests include image/video understanding, text-to-video/image-to-video generation, computer vision, robotics, and intelligent transportation systems.Guojiang Shen received the BSc degree in Control Theory and Control Engineering and the PhD degree in Control Science and Engineering from Zhejiang University, Hangzhou, China, in 1999 and 2004, respectively. He is currently a professor in the College of Computer Science and Technology, Zhejiang University of Technology. His current research interests include artificial intelligence, Big Data analytics, and intelligent transportation systems.

• Chapter 1. Introduction.- Chapter 2. Learning Paradigms in Cross-device Federated Recommendation.- Chapter 3. Privacy Computing in Cross-device Federated Recommendation.- Chapter 4. Federated Issues in Cross-device Federated Recommendation.- Chapter 5. Future Prospects.