Traffic Flow Prediction Based on Federated Learning and Spatio-Temporal Graph Neural Networks

In response to the insufficient consideration of spatio-temporal dependencies and traffic pattern similarity in traffic flow prediction methods based on federated learning, as well as the neglect of model heterogeneity and objective heterogeneity, a traffic flow prediction model based on federated l...

Полное описание

Библиографические подробности

Главные авторы:	Jian Feng, Cailing Du, Qi Mu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-06-01
Серии:	ISPRS International Journal of Geo-Information
Предметы:	traffic flow prediction federated learning pattern similarity model heterogeneity objective heterogeneity
Online-ссылка:	https://www.mdpi.com/2220-9964/13/6/210
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!