Fig. 16
From: FL-MalDrift: a federated learning framework for malware detection under local concept drift

Micro average ROC and Precision Recall curves across Drebin and CICMalDroid datasets. The FL-MalDrift model consistently achieves higher AUC values than FedAvg and FedSGD, confirming superior discriminative capability and stable performance across datasets.