Contemporary artificial intelligence (AI) models often rely on deep learning 1,2, resulting in intense computational requirements that become increasingly difficult to fulfill with current technology.

The authors introduce a novel framework that integrates federated learning with Graph Neural Networks (GNNs) to classify diseases, incorporating Human-in-the-Loop methodologies. This advanced ...