Big Data Analysis in IIoT Systems Using the Federated Machine Learning Method

The problem of effective Big Data processing in the Industrial Internet of Things was investigated in the work. The method of Federated Machine Learning as a tool for the analysis of large volumes of information in IIoT was described. The algorithm of Singular Value Decomposition was analyzed, which effectively analyzes the user data and the possibility of its modification. The increase of computational reliability using the FedSVD algorithm was investigated. The software modeling which confirms the efficiency of the proposed method has been carried out.