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Author

Hao Yu

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Open access Oct 2026

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

Resource constraints, time-varying links, and heterogeneous data distributions make distributed model training difficult in unmanned aerial vehicle (UAV) networks. Conventional federated learning can impose substantial computational and communication burdens on resource-constrained UAVs, whereas existing split-learning...

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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