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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ruyan Wang

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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
Conference Aug 2026

FedLEAF: Bi-directional Prototype Adaptation for Heterogeneous Federated Learning

Prototype-based knowledge sharing effectively mitigates data and model heterogeneity in federated learning (FL) by exchanging class-level semantic information. However, existing methods typically assume all local prototypes are equally reliable. Consequently, low-quality prototypes from heterogeneous models or dynamic...

Zhi-Yuan Zhu, Si-Yi Deng, Da-Peng Wu et al. · 0 citations

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