6G Sustainable Privacy Preserving Framework Enabling Federated Learning for Health Data

In this paper, we present the framework evolution covering key concepts, principles and architectural approach of the EU funded Project PAROMA-MED. The project aims to provide privacy preserving techniques based on a hybrid edge/cloud approach that focuses on the establishment of high degree of trust between federation entities. This in turn introduces a new paradigm in the context of privacy and data protection that can streamline the roles and operations of data subject and data controllers/processors by artifacts in a context that has been aspired as functional GDPR. The approach attempts to create fusion between the flexibility of data driven ecosystems as they are formulated by modern Data Spaces and data protection practices based on trust establishment practices such as Hardware Root of Trust. Considering the fact that 6G prospects provide ample room for radically new approaches and enabling network architectures, this paper continues to elaborate on the project’s vision as projected on future networks capabilities.