Figure 3: Federated learning models trained using publicly available and accessible frameworks results follow central model performance.

The Precision Recall Area Under Curve (PRAUC) comparing Central Algorithms against Federated Algorithms. We pair FL algorithms with central algorithms by the local learning algorithm applied at client sites. Federated Algorithms receive the training data set split across n=2 clients, using label stratified random sampling. Presented data is mean score and standard deviation resulting from cross validation.