A federated intrusion detection method combines hybrid Naive Bayes classifiers as a mixture of Gaussians and uses a governance-derived Institutional Coherence Index to regularize server-side weights via Nelder-Mead optimization, reporting F1 gains over size-proportional averaging on three datasets.
Framework for Drift Detection in AI- driven Anomaly Detection,
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Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection
A federated intrusion detection method combines hybrid Naive Bayes classifiers as a mixture of Gaussians and uses a governance-derived Institutional Coherence Index to regularize server-side weights via Nelder-Mead optimization, reporting F1 gains over size-proportional averaging on three datasets.