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.· Italian National Conference...· 0 citations
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.· Proceedings of the Thirty-Fi...· 0 citations
The proposed FedMGP+ effectively mitigates forgetting, significantly enhances personalized performance, and provides robust defense against poisoning and gradient leakage attacks.
Hao Yu, Xin Yang, Bo-Yang Fan et al.· IEEE Transactions on Pattern...· 0 citations
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