Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

Federated learning is an important privacy-preserving multi-party learning paradigm, involving collaborative learning with others and local updating on private data. Model heterogeneity and catastrophic forgetting are two crucial challenges, which greatly limit the applicability and generalizability...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2023) vom: 25. Okt.
1. Verfasser:	Huang, Wenke (VerfasserIn)
Weitere Verfasser:	Ye, Mang, Shi, Zekun, Du, Bo
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2023
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article