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Federated Learning for Intrusion Detection by HIMANSHU NANDANWAR is a document available to read on EtoBox.

What is Federated Learning for Intrusion Detection about?

The document presents a framework for Federated Learning-Enhanced Hybrid Model (FL-EHM) aimed at improving Intrusion Detection Systems (IDS) in response to evolving cybersecurity threats. It addresses challenges such as communication costs and non-IID data distribution while integrating privacy-preserving techniques and dynamic learning rates. A simulation study demonstrates FL-EHM

Author

HIMANSHU NANDANWAR

Language

EN