Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
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Author / Creator
Fan, Yunfeng , Xu, Wenchao , Wang, Haozhao , Zhu, Jiaqi and Guo, Song
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Federated learning (FL) underpins advancements in privacy-preserving distributed computing by collaboratively training neural networks without exposing clients' raw data. Current FL paradigms primarily focus on uni-modal data, while exploiting the knowledge from distributed multimodal data remains largely unexplored. Existing multimodal FL (MFL) so...
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Full title
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
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Record Identifier
TN_cdi_proquest_journals_2909326969
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2909326969
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E-ISSN
2331-8422
