Cargando…
Performance Enhancement in Federated Learning by Reducing Class Imbalance of Non-IID Data
Due to the distributed data collection and learning in federated learnings, many clients conduct local training with non-independent and identically distributed (non-IID) datasets. Accordingly, the training from these datasets results in severe performance degradation. We propose an efficient algori...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919903/ https://www.ncbi.nlm.nih.gov/pubmed/36772192 http://dx.doi.org/10.3390/s23031152 |