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...

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Detalles Bibliográficos
Autores principales: Li, Cen-Jhih, Huang, Pin-Han, Ma, Yi-Ting, Hung, Hung, Huang, Su-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141408/
https://www.ncbi.nlm.nih.gov/pubmed/35626569
http://dx.doi.org/10.3390/e24050686

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