A federated learning consortium of cancer centres that jointly own the models

A consortium of cancer centres and trial groups operating a federated learning infrastructure (models travel, data stay) for pathology, radiology and multimodal outcome prediction, with a governance agreement that gives members joint ownership of trained models, shared validation protocols and a route to regulatory submission. Owkin's federated networks and the EU's several federated health data projects show technical feasibility; the missing piece is a durable, member-owned institution with IP terms that reward data contribution rather than data extraction. Prospective validation of consortium models in member trials closes the loop with the AI validation bottleneck.