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...

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Hlavní autoři:	Jian Feng, Cailing Du, Qi Mu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-06-01
Edice:	ISPRS International Journal of Geo-Information
Témata:	traffic flow prediction federated learning pattern similarity model heterogeneity objective heterogeneity
On-line přístup:	https://www.mdpi.com/2220-9964/13/6/210
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