FedEU: Evidential Uncertainty-Driven Federated Fine-Tuning of Vision Foundation Models for Remote Sensing Image Segmentation

FedEU: Evidential Uncertainty-Driven Federated Fine-Tuning of Vision Foundation Models for Remote Sensing Image Segmentation explores Federated learning framework for remote sensing image segmentation that uses evidential uncertainty to improve model reliability and performance across heterogeneous datasets.. Commercial viability score: 7/10 in Federated Learning.