![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Subgraph Federated Learning with Global Graph Reconstruction
Missing cross-subgraph information is a unique problem in Subgraph Federated Learning (SFL) and severely affects the performance of the learned model. Existing cutting-edge methods typically allow clients to e...
-
Chapter and Conference Paper
Social Behavior-Aware Driving Intention Detection Using Spatio-Temporal Attention Network
Driving intent detection represents a formidable challenge in the realm of intelligent transportation systems, as its accurate prediction is crucial for guaranteeing the safety and reliability of autonomous ve...
-
Chapter and Conference Paper
DeepTSW: An Urban Traffic Safety Warning Framework Based on Bayesian Deep Learning
As a part of the smart city, urban traffic safety has always received strong attention. For urban traffic safety, previous work often relies on some additional features and machine learning models, mainly cons...