Abstract: To address the estimation bias caused by ignoring input noise in existing adaptive filtering algorithms, a new proportionate-type algorithm is proposed in this paper. First, a ...

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Abstract: Federated Learning (FL) has emerged as a promising paradigm for cooperatively training Deep Neural Networks (DNNs) on mobile devices while ensuring client privacy for decentralized data. FL ...