Leveraging deep learning for advanced routing optimization in urban vehicular networks
A Deep Learning-based Routing Optimization (DLRO) framework that integrates an attention-based DL model with Federated Learning (FL) for efficient and privacy-preserving route prediction in urban vehicular networks is proposed.