Alshoghri and Colleagues Propose Kubernetes-Based Framework for Federated Learning Security

Taym Alshoghri and colleagues of Science and Technology present a new framework addressing key security and privacy challenges within the rapidly expanding Internet of Medical Things. The increasing prevalence of IoMT devices, coupled with the use of federated learning, introduces vulnerabilities in sensitive health data handling. The framework responds to the emerging threat of quantum computing by integrating post-quantum cryptography into IoMT systems, proposing a scalable, Kubernetes-based solution validated on a Raspberry Pi testbed. Reduced latency through distributed cryptographic processing advances the design and validation of secure communication frameworks for future intelligent IoMT ecosystems. Latency in Federated Learning for Internet of Medical Things (IoMT) systems decreased by…