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Hao Yu

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Open access Oct 2026

HCFSL-UAV: Hierarchical Cluster-Head Federated Split Learning for UAV Networks

HCFSL-UAV, a hierarchical cluster-head federated split learning framework for UAV networks, achieves faster convergence and higher test accuracy than the considered federated-learning and split-learning baselines, while reducing communication and computation overhead in the reported settings.

Ruo-Meng Yuan, Jing Fan, Hao Yu et al. · 0 citations
Conference Sep 2026

Beyond Homophily: Spectrum-Based Graph Pre-Training and Cluster-Augmented Prompt Tuning

Graph pre-training and prompt tuning provide an effective route to label-efficient node classification by learning transferable backbones and adapting them with lightweight prompts. However, existing pre-train-and-prompt pipelines often generalize poorly across graphs with diverse homophily due to two fundamental limit...

Ting-Ting Li, Yong-Hao Li, Xiang-Kun Wang et al. · 0 citations

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