AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces MID (Mask-Image Distributional Divergence), a distribution-level evaluation metric for medical image segmentation that compares the joint distribution of images and masks between a reference set and a set of predictions, without requiring sample-wise correspondence.
FLIP (Federated Learning Interoperability Platform), an open-source, multi-application platform that makes FL training and evaluation repeatable and improve repeatability, auditability, and site-specific governance, is presented.
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