Xiaohan Jiang

On the Convergence of Hierarchical Federated Learning with Partial Worker Participation

Hierarchical federated learning (HFL) has emerged as the architecture of choice for multi-level communication networks, mainly because of its data privacy protection and low communication cost. However, existing studies on the convergence analysis for HFL are limited to the assumptions of full worke…