Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

• Published in: IEEE transactions on intelligent transportation systems Vol. 22; no. 8; pp. 5341 - 5351
• Main Authors: Yu, Zhengxin, Hu, Jia, Min, Geyong, Zhao, Zhiwei, Miao, Wang, Hossain, M. Shamim
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Caching; Content caching; deep learning; Edge computing; Federated learning; Machine learning; Network latency; Peer-to-peer computing; Predictive models; Privacy; Probabilistic logic; Security; Servers; Vehicles; vehicular networks

Content Caching at the edge of vehicular networks has been considered as a promising technology to satisfy the increasing demands of computation-intensive and latency-sensitive vehicular applications for intelligent transportation. The existing content caching schemes, when used in vehicular network...