Abstract: To address the common challenges of data heterogeneity and class imbalance in IoT environments, we introduce a novel intrusion detection framework built upon federated learning for ...
Abstract: In the field of image processing, autoencoder networks have emerged as potent approaches for image denoising. However, traditional autoencoder networks often struggle with imprecise noise ...
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