MuCALD-SplitFed adds causal-latent diffusion to multi-task split federated learning to raise segmentation accuracy and cut reconstruction and membership-inference leakage compared with standard SplitFed and personalized FL baselines.
1), partitions a model into front-end (FE), server-side (SS), and back-end (BE) components
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MuCALD-SplitFed: Causal-Latent Diffusion for Privacy-Preserving Multi-Task Split-Federated Medical Image Segmentation
MuCALD-SplitFed adds causal-latent diffusion to multi-task split federated learning to raise segmentation accuracy and cut reconstruction and membership-inference leakage compared with standard SplitFed and personalized FL baselines.