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cs.CV2023
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation
Ming Li, Guang Yang
In medical image analysis, Federated Learning (FL) stands out as a key technology that enables privacy-preserved, decentralized data processing, crucial for handling sensitive medi…
eess.IV2023
Data-Free Distillation Improves Efficiency and Privacy in Federated Thorax Disease Analysis
Ming Li, Guang Yang
Thorax disease analysis in large-scale, multi-centre, and multi-scanner settings is often limited by strict privacy policies. Federated learning (FL) offers a potential solution, w…