A robust privacy-preserving federated framework for kidney CT image classification using transfer learning models
A novel federated transfer learning framework for accurate classification of renal abnormalities using 12,446 kidney CT scan images and simultaneously preserves data privacy is proposed, highlighting its potential for deployment in distributed clinical environments for kidney disease diagnosis.