AI-Based Preprocessing and R-Squared Weighted Federated Aggregation for Robust Healthcare Signal Imputation
Federated learning is an emerging paradigm for collaborative model training in healthcare applications where sensitive patient data cannot be centralized due to privacy concerns; however, missing values in physiological signals remain a major challenge, often leading to degraded model accuracy and unstable convergence....