TabFedSL: A Self-Supervised Approach to Labeling Tabular Data in Federated Learning Environments
Currently, self-supervised learning has shown effectiveness in solving data labeling issues. Its success mainly depends on having access to large, high-quality datasets with diverse features. It also relies on utilizing the spatial, temporal, and semantic structures present in the data. However, dom...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2024-04-01
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| Σειρά: | Mathematics |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2227-7390/12/8/1158 |
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