Adaptive Parameter-Harmonized Dynamic Hypergraph Spatio-Temporal Prediction for Distributed Traffic Scenarios
A novel Adaptive Parameter Coordination Dynamic Hypergraph Spatio-Temporal Prediction (ADH-STPC) framework for decentralized learning, which provides the core topology for adaptive collaboration, while DHCGA captures spatio-temporal traffic features, and together they drive the model to achieve optimal performance.