Abstract: Deep learning has emerged as a leading method for detecting network intrusion threats. However, processing large volumes of data increases computational time costs, and noise in the data can ...

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Abstract: Federated Learning (FL) is increasingly adopted for training ML models, driven by its ability to preserve data privacy and reduce communication costs. However, the limited availability of ...