Abstract: Quantum neural networks (QNNs) are becoming increasingly recognized as a viable method for addressing complex challenges in image classification. Feature extraction is a vital component in ...
Abstract: Privacy-preserving federated learning can protect the privacy of model gradients/parameters in the model aggregation phase. Most existing schemes only ...
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