Zhi-Yuan Zhu

Mitigating Edge Heterogeneity for Hierarchical Federated Learning: Prototype System and Convergence Analysis

Hierarchical federated learning (HFL) emerges as a promising solution for distributed systems in real-world IoT, compensating for the limitations of client and training data through multilevel aggregation. However, severe system heterogeneity, such as data heterogeneity, differentiated communication and computing power...