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Robust Aggregation for Federated Learning by Minimum γ-Divergence Estimation
Federated learning is a framework for multiple devices or institutions, called local clients, to collaboratively train a global model without sharing their data. For federated learning with a central server, an aggregation algorithm integrates model information sent from local clients to update the...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141408/ https://www.ncbi.nlm.nih.gov/pubmed/35626569 http://dx.doi.org/10.3390/e24050686 |