Cafe : Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity

Federated learning (FL), a decentralized machine learning approach, offers great performance while alleviating autonomy and confidentiality concerns. Despite FL's popularity, how to deal with missing values in a federated manner is not well understood. In this work, we initiate a study of feder...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on knowledge and data engineering. - 1998. - 37(2025), 5 vom: 28. Mai, Seite 2266-2281
1. Verfasser:	Min, Sitao (VerfasserIn)
Weitere Verfasser:	Asif, Hafiz, Wang, Xinyue, Vaidya, Jaideep
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2025
Zugriff auf das übergeordnete Werk:	IEEE transactions on knowledge and data engineering
Schlagworte:	Journal Article Data Heterogeneity Data Quality Federated Learning Missing Data Imputation