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Privacy-Preserving Intrusion Detection Using Federated Learning in Distributed Networks

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TL;DR

Evaluated on standard intrusion detection datasets, including NSL-KDD and CICIDS2017, indicates that the proposed model can maintain competitive detection performance while improving privacy protection and supporting deployment across distributed network environments.

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