Fig. 11
From: FL-MalDrift: a federated learning framework for malware detection under local concept drift

Client wise local classification accuracy across 20 communication rounds on the CICMalDroid 2020 dataset using HDDM with FedSGD.
From: FL-MalDrift: a federated learning framework for malware detection under local concept drift

Client wise local classification accuracy across 20 communication rounds on the CICMalDroid 2020 dataset using HDDM with FedSGD.