Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model aggregation ...

Balancing Data Imbalance in Remote Sensing Image Road Segmentation With Gradient-Guided Multi-Level Data Augmentation Abstract: In remote sensing image segmentation, data imbalance remains a critical ...