悦 赵

H-FedSN: personalized sparse networks for efficient and accurate hierarchical federated learning for IoT applications

Abstract With the rapid development of the Internet of Things (IoT), federated learning (FL) has gained increasing attention for its privacy-preserving use of distributed data. However, conventional two-tier FL architectures are poorly suited to the hierarchical and heterogeneous...