Yipan Wei

Rethinking Federated Prompt Learning for Medical Images: From Textual Tuning to Visual Manifold Anchoring

Federated Prompt Learning (FPL) adapts Vision-Language Models to privacy-sensitive medical imaging, typically via a textual tuning paradigm that assumes the frozen visual encoder provides a discriminative feature geometry. We argue this assumption breaks down in medical settings, leading to two geom…