Exploring Covert Attacks and Defense in Federated Learning Systems

This blog delves into covert attacks and defense mechanisms in federated learning. We systematically review existing literature, design robust algorithms, implement detection techniques, and validate their effectiveness in real-world scenarios, particularly in healthcare and finance, ensuring a comprehensive understanding of this critical area in machine learning.