Adaptive and Proximal Federated Optimization for Transferable Network Intrusion Detection

Network Intrusion Detection Systems NIDS based on deep learning often fail to detect attack classes that are absent from training data, limiting their robustness against zero-day threats. This property called transferability across attack classes, remains underexplored especially in federated...