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Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection
In the context of distributed machine learning, the concept of federated learning (FL) has emerged as a solution to the privacy concerns that users have about sharing their own data with a third-party server. FL allows a group of users (often referred to as clients) to locally train a single machine...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294770/ https://www.ncbi.nlm.nih.gov/pubmed/35875592 http://dx.doi.org/10.1007/s10796-022-10307-z |