An explainable data-local federated learning framework for intrusion detection in connected healthcare systems
Connected healthcare networks link medical sensors, gateways, electronic health record systems and cloud services, which enlarges their exposure to cyberattacks. Centralized intrusion detection systems (IDSs) require traffic from all sites to be pooled in one repository, which conflicts with data-residency constrai...