New Split Federated Learning Method Uses Latent Diffusion to Protect Medical Image Data
Researchers introduced DiffusedSplitFed, a latent diffusion-based obfuscation technique designed to make split federated learning resilient to reconstruction attacks in medical image segmentation.
Read the full story at arXiv cs.CV ↗