Abstract: Federated Learning (FL) presents a promising avenue for collaborative model training among medical centers, facilitating knowledge exchange without compromising data privacy. However, ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Abstract: Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data ...
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