Federated Learning: Enabling Privacy-First Intelligence in Connected Healthcare

Introduction The healthcare industry is embracing technology at an incredible pace with innovations such as wearables, medical sensors, and connected medical devices. These innovations continually provide sensitive patient information, which can then enable diagnosis, monitoring, and treatment. Although AI technology would enable data analysis for better healthcare outcomes, data security concerns remain a challenge in these innovations. Federated learning, on the other hand, has stood out as it ensures intelligent data can be analyzed for healthcare while maintaining patient confidentiality. What Is Federated Learning? =========================== Federated learning is a method of machine learning that allows training a model on separate devices or institutions, rather than exchanging data to be processed at a central hub or server. This implies that data, which can be considered personal or confidential, stays where it is, as a result of training a model that facilitates updates to ge...