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News/Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach
arxiv
PublishedJune 25, 2026 at 4:00 AM
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Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach

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Publisher summary· verbatim

arXiv:2606.24237v1 Announce Type: new Abstract: Federated Graph Learning facilitates collaborative graph modeling across distributed clients while preserving data privacy. However, real-world data categories frequently exhibit long-tailed distributions. Such statistical scarcity severely degrades pe

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Mentioned models
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    FedEPD
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Read original ↗All from arxiv →
Tags
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#federated-learning#graph-modeling#data-privacy

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