#machine learning
Dec 2024
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
Experiments show that H-FedSN reduces communication costs by up to 477 times compared to baseline methods while maintaining high accuracy, making it well-suited for hierarchical FL in IoT deployments.
Jiechao Gao, Yuangang Li, Jie Wang et al.
· arXiv.org · 4 citations