Aiming at the problem that the federated learning system was extremely vulnerable to membership inference attacks initiated by malicious parties in the prediction stage. and the existing defense methods were difficult to achieve a balance between privacy protection and model loss. Membership inference attacks and their defense methods were explored in the context of federated learning... https://atlanticknifers.shop/product-category/clothing/