EdgeST-Fusion: A Cross-Modal Federated Learning and Graph Transformer Framework for Multimodal Spatiotemporal Data Analytics in Smart City Consumer Electronics
Abstract
Multimodal spatiotemporal data from smart city consumer electronics present critical challenges including cross-modal temporal misalignment, unreliable data quality, limited joint modeling of spatial and temporal dependencies... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Traffic Prediction and Management Techniques
Advanced Graph Neural Networks
Publication details
- Journal / source
- Computers, materials & continua/Computers, materials & continua (Print)
- Volume
- 87
- Issue
- 2
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN