The Vision of 6G-XCEL project entails:

1. Research on edge network use cases that employ decentralised, multi-party AI controls running over edge compute accelerators to coordinate control across radio and optical networks.
2. Development of a reference framework for AI in 6G that will pave the way towards global validation, adoption and standardisation of AI approaches: decentralised multi-party, multi-network AI (DMMAI) framework
   • Enable the federation of AI-based network controls across network domains and physical layers, 
while promoting security and sustainable implementations
   • Development of reference use cases, data acquisition and generation methods, data and model 
repositories, curated training and evaluation data
   • Technologies and functionalities for its use as a benchmarking platform for future AI/ML solutions for 6G networks
3. Bringing together a large ecosystem of researchers from the EU and US to implement elements of the DMMAI framework in their testbeds and labs
   • Integrating it into their research programs and validating the framework across platforms
   • Working together openly across continents and closely with standardisation groups within each jurisdiction