2 results found

Viraj Gulhane, Sandeep Rode, Nikesh Gadare, Pankaj Gadge

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...

Research Square 2026-04-23 rs-9493732
Cloud Computing Encrypted Machine Learning KNN XGBoost SVM Privacy Preservation

Surendiran Muthukumar, Deepalakshmi Kumar, Ranjit Panigrahi, Paolo Barsocchi, Akash Kumar Bhoi

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...

Journal of Big Data 2026-04-22 rs-8191856
Federated Learning Data Heterogeneity Clustering Personalized Models Healthcare Informatics Non-IID Data Privacy Preservation
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