Federated Foundation Model for GI Endoscopy Images

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We propose a federated learning framework to train foundation models for gastrointestinal endoscopy imaging, allowing hospitals to collaboratively develop general-purpose models while keeping data private. Our approach is evaluated on classification, detection, and segmentation tasks, demonstrating improved performance in a privacy-preserving, federated setting.

Citation: Devkota, A., Amireskandari, A., Palko, J., Thakkar, S., Adjeroh, D., Jiang, X., Bhattarai, B. and Gyawali, P.K., 2025. Federated Foundation Model for GI Endoscopy Images. arXiv preprint arXiv:2505.24108.

Citation: Devkota, A., Amireskandari, A., Palko, J., Thakkar, S., Adjeroh, D., Jiang, X., Bhattarai, B. and Gyawali, P.K., 2025. Federated Foundation Model for GI Endoscopy Images. arXiv preprint arXiv:2505.24108.
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