Deadline: 2024-04-18 Status: Closed
Description
Expected Outcome:The key expected outcomes include:Realistic applicability of AI at large scale in 6G networks for natively supporting AI architectures, common data sets and/or federated learning methodologies and assessment models, including re-training of models with the introduction/update of the data sets; AI/ML solutions that will have impactful contribution to standardisation activities; Interpretability solution exploring standard-compliance testing & debugging techniques.Development of curated data sets of realistic 6G scenarios (using new real and/or synthetic data sets) for reference [...]
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