<?xml version="1.0" encoding="US-ASCII"?>
<dblp>
<article key="journals/corr/abs-2507-14980" publtype="informal" mdate="2026-02-27">
<author>Tianle Li</author>
<author orcid="0000-0003-3728-3502">Yongzhi Huang 0002</author>
<author>Linshan Jiang</author>
<author>Qipeng Xie</author>
<author>Chang Liu 0093</author>
<author>Wenfeng Du</author>
<author>Lu Wang 0002</author>
<author>Kaishun Wu</author>
<title>FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios.</title>
<year>2025</year>
<month>July</month>
<volume>abs/2507.14980</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2507.14980</ee>
<url>db/journals/corr/corr2507.html#abs-2507-14980</url>
<stream>streams/journals/corr</stream>
</article>
</dblp>
