Federated Learning

An overview of intelligent data processing methods in the systems of the Industrial Internet of Things is presented in this paper. A comparison of Big Data analysis methods in industrial systems with a significant load is provided. The methods of distributed machine learning for data processing are offered. A software model for data analysis of different volumes is developed in the work. The analysis of the basic approaches to the organization of machine learning is carried out: federal and undistributed.