Enhancing Federated Learning: Covert Attacks and Defense Mechanisms Explored

This blog delves into covert attacks in federated learning, presenting systematic reviews, algorithm designs, and experimental validations. We explore real-world applications, focusing on detection and defense mechanisms to safeguard sensitive data in sectors like healthcare and finance, ensuring robust model performance against various attack scenarios.