A Clinically Validated Explainable Federated Multi-Modal Learning Framework for Privacy Preserving Cardiac Arrhythmia Classification in Heterogeneous Data Environments
Cardiac arrhythmia is a leading cause of morbidity worldwide, and automated electrocardiogram (ECG) classification has become an essential tool for early screening and triage. Two barriers separate research prototypes from clinical deployment: patient data cannot be centralized due to privacy regulations (HIPAA, GDPR),...