Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging

Keyphrases

• Medical Imaging 100%
• Data Silos 100%
• Unannotated Data 100%
• Federated Learning 33%
• Segmentation Model 33%
• Annotated Dataset 33%
• Global Segmentation 33%
• Learning Objectives 16%
• Distributed Learning 16%
• Machine Learning Models 16%
• Learning-based 16%
• Training Base 16%
• Medical Field 16%
• Data Migration 16%
• Data Privacy 16%
• Learning Framework 16%
• Migration Cost 16%
• Label Acquisition 16%
• Privacy Sensitive 16%
• KiTS19 16%
• Pseudo Label 16%
• Federated Data 16%
• Self-supervised Learning 16%
• Ground-truth Labels 16%

Computer Science

• Medical Imaging 100%
• Segmentation Model 66%
• Federated machine learning 66%
• Annotation 33%
• Distributed Learning 33%
• Data Migration 33%
• Data Privacy 33%
• Learning Framework 33%
• Self-Supervised Learning 33%
• Migration Cost 33%
• Machine Learning Model 33%