An advanced data fabric architecture leveraging homomorphic encryption and federated learning

arXiv:2402.09795v1 Announce Type: new
Abstract: Data fabric is an automated and AI-driven data fusion approach to accomplish data management unification without moving data to a centralized location for solving complex data problems. In a Federated learning architecture, the global model is trained based on the learned parameters of several local models that eliminate the necessity of moving data to a centralized repository for machine learning. This paper introduces a secure approach for medical image analysis using federated learning and partially …

advanced architecture arxiv automated cs.ai cs.cr cs.db data data management encryption federated federated learning fusion global homomorphic encryption location management moving problems unification