Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Abstract: With the rapid development of the industrial Internet, the value of internal data is increasing. Federated learning, which can protect data privacy, is crucial in this context. However, it ...
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