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A Federated Artificial Intelligence Framework for Optimizing Pancreatic Cancer Treatment - Strategy Update

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

While a centralized approach involving patient consent to collect and analyze data centrally would theoretically offer the best data quality and predictive performance, it is not always feasible in practice. Federated Learning (FL) architectures have shown to be a very promising approach to use and access distributed disease related resources within the GDPR boundaries. In a previous case report, we described the preconditions at the participating sites and necessary administrative and process related steps to prepare data, people and infrastructure for improving subtype identification and ass

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