FedGDAN: Privacy-preserving traffic flow prediction via federated graph diffusion attention networks
Abstract Efficient data utilization and strong privacy protection are major challenges in Intelligent Transportation Systems (ITS), particularly in complex environments with highly distributed Intelligent Connected Vehicles (ICVs). Conventional machine learning methods struggle to capture complex sp...
Guardat en:
| Autors principals: | , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-11-01
|
| Col·lecció: | Scientific Reports |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1038/s41598-025-24963-z |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|