Fed-NTP: A Federated Learning Algorithm for Network Traffic Prediction in VANET

被引：0

作者：

Sepasgozar, Sanaz Shaker ^{[1
]}

Pierre, Samuel ^{[1
]}

机构：

[1] Polytechnique Montreal, Mobile Computing and Networking Research Laboratory (LARIM), Department of Computer and Software Engineering, Montreal,QC,H3T 1J4, Canada

来源：

IEEE Access | 2022年 / 10卷

关键词：

Data privacy - Data structures - Forecasting - Intelligent systems - Intelligent vehicle highway systems - Learning algorithms - Long short-term memory - Roads and streets - Traffic control;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：119607 / 119616