Federated Learning for Collaborative Cybersecurity of Distributed Healthcare


Healthcare 4.0 is a new paradigm for providing healthcare services in highly distributed and complex settings. The distributed and heterogeneous nature of home-based medical devices, and their need to exchange data with external sources make Healthcare 4.0 solutions susceptible to cyberattacks and require decentralized solutions to protect sensitive local data. This work presents a collaborative approach to security incident detection for distributed healthcare utilizing federated learning. At this stage, the federated learning process has been facilitated and evaluated using simulation, training, and testing.