Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning

To cope with the increasing content requests from emerging vehicular applications, caching contents at edge nodes is imperative to reduce service latency and network traffic on the Internet-of-Vehicles (IoV). However, the inherent characteristics of IoV, including the high mobility of vehicles and r...

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Bibliographic Details

Published in:	Proceedings - International Conference on Parallel and Distributed Systems pp. 601 - 608
Main Authors:	Yu, Zhengxin, Hu, Jia, Min, Geyong, Xu, Han, Mills, Jed
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2020
Subjects:	AutoEncoder Collaborative filtering Collaborative work Data privacy Deep Learning Edge Caching Federated Learning Internet of Vehicles Peer-to-peer computing Predictive models Servers Training
ISSN:	2690-5965
Online Access:	Get full text
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