Larynx cancer survival model developed through open-source federated learning

•OS of larynx cancer patients treated at Odense DK, Manchester UK and Liverpool AUS is driven by tumour volume and PS.•Federated learning can be used to create survival models without patient-sensitive data leaving the individual institutions.•The baseline hazards of the three institutions are similar, indicating the GTV volume and PS explain the cohort differences.•Smoking during treatment has the same risk profile as a ten year older patient not smoking.