Sangita Dutta

Traffic congestion management using attention based federated hybrid deep learning model in Vehicle-to-Everything (V2X) systems

A hybrid deep learning framework that integrates Bidirectional Long Short-Term Memory and Gated Recurrent Unit networks with an attention mechanism within a federated learning paradigm is proposed, which enables decentralized model training across multiple data sources without requiring raw data sharing, thereby preserving privacy while maintaining predictive performance.