Deep learning (DL) methods have been widely applied to anomaly-based network intrusion detection system (NIDS) detect malicious traffic. To expand the usage scenarios of DL-based methods, federated (FL) allows multiple users train a global model on basis respecting individual data privacy. However, it has not yet systematically evaluated how robust FL-based NIDSs are against existing privacy at...