Fig. 1. Area under the ROC curve (AUC) as a function of fraction of participants in each federated (server) round of learning for replicated model of SARS-CoV-2 and Cancer.

Shown in log scale to highlight details at the low participation levels. We see that even at a 2% participation rate, the model still achieves 99% of the maximum attainable AUC. We observe this pattern across all the datasets studied. 80% of the whole dataset was used to train the model and the rest 20% used for validation.