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The rapid adoption of cloud computing in healthcare has improved data accessibility but introduced significant challenges in privacy preservation. This study presents a secure cloud-based framework fo...
Cloud Computing
Encrypted Machine Learning
KNN
XGBoost
SVM
Privacy Preservation
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
SinoXiv