Аннотация
With the emergence of a flexible mix of private and public clouds based on business requirements, the need for a system that supports application deployment to a variety of cloud environments has emerged. In particular, it is necessary to secure the security of data in applications based on federated learning and to monitor resource usage in the cloud. This paper seeks ways to monitor and manage cloud resource usage according to various hyperparameters when conducting federated learning in a hybrid cloud environment. In a Docker-based cloud environment, we present an improved method for using efficient cloud resources while controlling the metric and resource usage trend of the federated learning model according to the imbalance of the data set.