Spectral Sentinel: Securing Federated Learning on Blockchain with Random Matrix Theory

This research paper presents a novel approach to securing decentralized federated learning, crucial for privacy-preserving AI. The use of sketched random matrix theory is a sophisticated method with potential for robust and scalable solutions, particularly addressing the Byzantine fault tolerance problem.

• •Addresses the Byzantine fault tolerance problem in federated learning.
• •Employs sketched random matrix theory for robustness and scalability.
• •Leverages blockchain technology for decentralized federated learning.