Active learning aims at obtaining high-accuracy models with as a few labeled data as possible. by iteratively and elaborately selecting most valuable data to query labels during the learning process. thereby the cost of labeling data can be reduced. Most previous active learning approaches consider the situation of centralized processing. https://chefesquipmenters.shop/product-category/scraper-spatulas/