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

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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Bibliographic Details
Main Authors: Jian Feng, Cailing Du, Qi Mu
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
traffic flow prediction
federated learning
pattern similarity
model heterogeneity
objective heterogeneity
Online Access:https://www.mdpi.com/2220-9964/13/6/210

Internet

https://www.mdpi.com/2220-9964/13/6/210

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