Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning

Federated learning is a decentralized topology of deep learning, that trains a shared model through data distributed among each client (like mobile phones, wearable devices), in order to ensure data privacy by avoiding raw data exposed in data center (server). After each client computes a new model...

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Detalles Bibliográficos
Autores principales: Xiao, Peng, Cheng, Samuel, Stankovic, Vladimir, Vukobratovic, Dejan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516771/
https://www.ncbi.nlm.nih.gov/pubmed/33286088
http://dx.doi.org/10.3390/e22030314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516771/
https://www.ncbi.nlm.nih.gov/pubmed/33286088
http://dx.doi.org/10.3390/e22030314

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