Digital twin
Manufaqtury запустила цифровой двойник бизнес-центра в платформе «Призма»
В платформе для управления коммерческой недвижимостью «Призма» (Prysm) появился цифровой двойник здания. Он связывает...
Hierarchical Federated Transfer Learning for Digital Twin-Based Vehicular Networks
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.
Why it matters
This approach improves federated learning efficiency in distributed systems with heterogeneous agents, which is important for traffic management in smart cities.
Relevant to DT products
- Original headline
- Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks
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