PREDICT-6G aims to create a secure, modular, interoperable, and extensible deterministic network and management framework that automates the definition, provisioning, monitoring, fulfilment, and life-cycle management of end-to-end deterministic services over multiple network domains. This will hide the complexity of continuously balancing and re-configuring the constituent domain specific enablers to maintain a consistent end-to-end determinism.
Our role
The main results produced by Eviden in the project have been the following:
- Extension of the MLOps Framework to support Federated Learning in deterministic environments.
- Integration of the MLOps Framework with a WiFi Digital Twin to develop and serve a Federated Learning model devoted to set the best traffic policy in distributed WiFi domains.
- Development of Service Automation module as part of AICP design
