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Data heterogeneity remains one of the most significant challenges in federated learning (FL), impacting model performance, convergence, and scalability. This issue is especially critical in healthcare...
Federated Learning
Data Heterogeneity
Clustering
Personalized Models
Healthcare Informatics
Non-IID Data
Privacy Preservation
