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Hierarchical Federated Transfer Learning in Vehicular Networks

US & West · 12 Aug

An HFTL method for digital twin-based vehicular networks (DT-VANET) is proposed. It combines federated and transfer learning, clusters vehicles by type, and improves global model accuracy under data heterogeneity.

Why it matters

Relevant for forecasting and managing traffic in smart cities.

Relevant to DT products

DT.Forecast DT.Storage

Original headline: Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks

Read the original: arXiv API — полнотекстовый поиск "digital twin"

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