AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Across natural-image, scene, and medical-imaging benchmarks, LAD produces spatially precise explanations that are decision-relevant under both concept insertion and deletion, while uniquely providing stable, human-interpretable concept names.
ProMoE-FL, a Prototype-conditioned Mixture-of-Experts framework for robust missing-modality feature synthesis in multimodal federated learning with missing modality, builds a global client-aware prototype bank that captures clinically meaningful modality priors across institutions.
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