Cargando…
An EMD-Based Adaptive Client Selection Algorithm for Federated Learning in Heterogeneous Data Scenarios
Federated learning is a distributed machine learning framework that enables distributed nodes with computation and storage capabilities to train a global model while keeping distributed-stored data locally. This process can promote the efficiency of modeling while preserving data privacy. Therefore,...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218865/ https://www.ncbi.nlm.nih.gov/pubmed/35755701 http://dx.doi.org/10.3389/fpls.2022.908814 |