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Privacy-preserving federated learning achieves segmentation performance on skin lesions comparable to centralized methods, without centralizing sensitive patient data.
Wearable-free video models can match the precision of physical IMU sensors during severe turning-induced self-occlusion by distilling kinematic topologies directly into visual latent spaces.