Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...

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Abstract: The choice of activation function in deep learning is crucial to the performance of neural networks. The activation function used in conventional deep learning remains unchanged for neural ...

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