IEEE

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks

Abstract: Traffic data serves as a fundamental component in both research and applications within intelligent transportation systems. However, real-world transportation data, collected from loop ...
IEEE

Graph-Based Joint Client Clustering and Resource Allocation for Wireless Distributed Learning: A New Hierarchical Federated Learning Framework With Non-IID Data

Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...