A privacy preserving federated meta ensemble stacking framework with explainability and differential privacy for chronic kidney disease prediction in resource constrained settings
Chronic kidney disease (CKD) is a major public health concern that requires early and reliable diagnosis to reduce disease progression and associated complications. Existing machine learning approaches often rely on centralized training, limiting their applicability in healthcare environments where data privacy, hetero...