Over the last decade. many pairwise-constraint-based metric learning algorithms have been developed to automatically learn application-specific metrics from data under similarity/dissimilarity data-pair constraints (weak labels). Nevertheless. these existing methods are designed for the centralized learning case. https://herbsdailyes.shop/product-category/sesame-oil-spreads/