Addressing Geographic Heterogeneity in Federated Learning for Collaborative Remote Sensing Semantic Segmentation

A novel Geographic Heterogeneity-Aware Federated Learning (GeoFed) framework to address privacy-preserving collaborative remote sensing semantic segmentation by alleviating class-distribution heterogeneity and object-appearance heterogeneity.