Abstract: Feature selection is crucial for improving machine learning models by reducing dimensionality and lowering computational costs. This survey paper provides an in-depth review on recent ...
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 ...
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