Researchers Eye Machine Learning to Secure IoT Data

Just as a federated government system consists of a central government and smaller political entities, a federated learning algorithm collects data from several edge devices rather than from a single database. Federated learning involves training data and storing it locally. By eliminating the sharing of IoT data, it becomes secure. "Federated learning means you are learning by distributing the data to different stakeholders without revealing the identity and the sources of the data," Das says. He adds, "The algorithm itself gives the power because of the way we develop the algorithm. We are not sharing the entire data set and the content to every device or every stakeholder, and everybody only sees a partial view of it."