XAI FL-IDS applies federated learning with XGBoost and SHAP on the Edge-IIoTset dataset across 10 clients to achieve over 99% accuracy in intrusion detection while preserving data privacy and providing feature explanations.
Federated Learning-Based Intrusion Detection in IoT Networks: Performance Evaluation and Data Scaling Study,
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XAI FL-IDS: A Federated Learning and SHAP-Based Explainable Framework for Distributed Intrusion Detection Systems
XAI FL-IDS applies federated learning with XGBoost and SHAP on the Edge-IIoTset dataset across 10 clients to achieve over 99% accuracy in intrusion detection while preserving data privacy and providing feature explanations.