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Traditional machine learning versions typically demand significant amounts of labeled data for top general performance. Even now, a single-shot learning seeks to overcome this limitation by enabling designs toGaussian processes are well-liked surrogate products in Bayesian optimization used to do hyperparameter optimization.Federated learning is un