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Division of Imaging, Diagnostics, and Software Reliability, U.S. Food and Drug Administration (FDA
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Pathology-specific evaluation metrics reveal that increasing synthetic data diversity boosts segmentation model performance more than visual fidelity does.
Fed-FBD achieves surgical unlearning and adversarial isolation in federated learning without sacrificing significant accuracy, redefining the standards for privacy and model integrity.
Persona-agnostic memory systems cause role-playing agents to forget who they are, but a dual-memory system can help them remember.
