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   	<dc:title>Clustered Federated Learning With Contrastive Loss and Staleness-Aware Aggregation for LEO Satellite Constellations</dc:title>
   	<dc:creator>Ozeki, Ren</dc:creator>
   	<dc:creator>Rihan, Mohamed</dc:creator>
   	<dc:creator>Rizk, Hamada</dc:creator>
   	<dc:creator>Matthiesen, Bho</dc:creator>
   	<dc:creator>Dekorsy, Armin</dc:creator>
   	<dc:creator>Yamaguchi, Hirozumi</dc:creator>
   	<dc:publisher>Institute of Electrical and Electronics Engineers (IEEE)</dc:publisher>
   	<dc:date>2026</dc:date>
   	<dc:type>info:eu-repo/semantics/article</dc:type>
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   	<dc:identifier>https://ris.uni-paderborn.de/record/66959</dc:identifier>
   	<dc:source>Ozeki R, Rihan M, Rizk H, Matthiesen B, Dekorsy A, Yamaguchi H. Clustered Federated Learning With Contrastive Loss and Staleness-Aware Aggregation for LEO Satellite Constellations. &lt;i&gt;IEEE Open Journal of the Communications Society&lt;/i&gt;. 2026;7:8056-8072. doi:&lt;a href=&quot;https://doi.org/10.1109/ojcoms.2026.3712413&quot;&gt;10.1109/ojcoms.2026.3712413&lt;/a&gt;</dc:source>
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