SMPC-based Federated Learning for 6G enabled Internet of Medical Things. (arXiv:2304.13352v1 [cs.CR])

Rapidly developing intelligent healthcare systems are underpinned by Sixth
Generation (6G) connectivity, ubiquitous Internet of Things (IoT), and Deep
Learning (DL) techniques. This portends a future where 6G powers the Internet
of Medical Things (IoMT) with seamless, large-scale, and real-time connectivity
amongst entities. This article proposes a Convolutional Neural Network (CNN)
based Federated Learning framework that combines Secure Multi-Party Computation
(SMPC) based aggregation and Encrypted Inference methods, all within the
context of 6G and IoMT. We consider multiple hospitals with …

article clusters cnn computation connectivity context deep learning devices edge edge devices encrypted entities federated learning framework future healthcare hospitals internet internet of things iomt iot large medical network neural network party scale systems techniques things