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D. Wu

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#edge computing Oct 2026

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...

D. Wu, Changxin Lu, Zhi-Yuan Zhu et al. · 0 citations

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