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Conference Paper: FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation

TitleFedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation
Authors
Issue Date24-Jun-2025
PublisherIEEE
Persistent Identifierhttp://hdl.handle.net/10722/362512

 

DC FieldValueLanguage
dc.contributor.authorZhan, Ziwei-
dc.contributor.authorZhao, Wenkuan-
dc.contributor.authorLi, Yuanqing-
dc.contributor.authorLiu, Weijie-
dc.contributor.authorZhang, Xiaoxi-
dc.contributor.authorTan, Chee Wei-
dc.contributor.authorWu, Chuan-
dc.contributor.authorGuo, Deke-
dc.contributor.authorChen, Xu-
dc.date.accessioned2025-09-25T00:30:17Z-
dc.date.available2025-09-25T00:30:17Z-
dc.date.issued2025-06-24-
dc.identifier.urihttp://hdl.handle.net/10722/362512-
dc.languageeng-
dc.publisherIEEE-
dc.relation.ispartofThe 20th International Conference on Mobility, Sensing and Networking (MSN 2024) (20/12/2024-22/12/2024, Harbin)-
dc.titleFedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation-
dc.typeConference_Paper-
dc.identifier.doi10.1109/MSN63567.2024.00027-

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