FedFound: Federated Foundation Model for GI endoscopy imaging

Gastrointestinal (GI) endoscopy is essential for identifying abnormalities and enabling early diagnosis, thereby improving diagnostic accuracy and facilitating timely clinical intervention. While deep learning has shown promise in supporting GI diagnostics, most models require carefully labeled datasets that are costly to acquire and limited in scope. Foundation models offer a paradigm shift by learning general-purpose representations that can be adapted for diverse tasks, addressing data scarcity and variability.

However, training such models on medical imaging data remains challenging due…

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give... [797 chars]