Abstract
This Master's Project aims to study and propose management mechanisms in architectures of machine learning considering scenarios and use cases of telecommunications operators. These mechanisms will be responsible for determining the dynamic participation of clientes in the training rounds, managing the distribution of trained models as well as their aggregation, and executing the inferenc…