Hierarchical Federated Transfer Learning for Digital Twin-Based Vehicular Networks

US & West · 12 Aug

The study addresses the challenge of training a global model in DT-VANET under data heterogeneity and sparsity. The proposed HFTL method clusters vehicles by type and applies transfer learning within clusters, improving prediction accuracy for different vehicle types.

Original headline

Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks

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