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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...

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Detalles Bibliográficos
Autores principales: Rjoub, Gaith, Wahab, Omar Abdel, Bentahar, Jamal, Cohen, Robin, Bataineh, Ahmed Saleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
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