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.
Datasets and model training Our multi-task SplitFed framework consists of 5 clients, each occupying a medical imaging dataset
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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.