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The result is a practical way to separate two failure modes that are usually mixed together: a weak selector versus an information channel that cannot support the desired decision in the first place.
FedTopo transforms federated learning by enabling reliable knowledge sharing through class relation topology, outperforming traditional methods in heterogeneous settings.
AURA achieves 95.47% accuracy in identifying active antibiotics, revealing that traditional methods misidentify the active set over 60% of the time.
Stop blindly optimizing at test-time: HD-TTA uses competing geometric hypotheses and representation-guided selection to make brain tumor segmentation safer.