GEN-Guard detects generalization failures in federated surgical AI via client-blocked evaluation and corrects them via disagreement-aware distillation, yielding reported gains on in-federation, unseen-institution, and worst-case performance.
Cyclesam: One- shot surgical scene segmentation using cycle-consistent feature match- ing to prompt sam
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GEN-Guard: Correcting Generalization Failures for Deployable Federated Surgical AI
GEN-Guard detects generalization failures in federated surgical AI via client-blocked evaluation and corrects them via disagreement-aware distillation, yielding reported gains on in-federation, unseen-institution, and worst-case performance.