4 papers
Multi-Turn Distributed Inference with Mixture of Experts for 6G Edge--Cloud Networks
Bo Liu, Haiyuan Li, Yuelin Liu +4
Mixture-of-Experts (MoE) architectures are increasingly deployed across 6G edge--cloud networks, where sparse activation reduces the computational footprint of each inference to on…
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach
Juan Parra-Ullauri, Xueqing Zhou, Shadi Moazzeni +11
Artificial Intelligence (AI) is expected to play a key role in 6G networks including optimising system management, operation, and evolution. This requires systematic lifecycle mana…
Federated Transfer Component Analysis Towards Effective VNF Profiling
Xunzheng Zhang, Shadi Moazzeni, Juan Marcelo Parra-Ullauri +2
The increasing concerns of knowledge transfer and data privacy challenge the traditional gather-and-analyse paradigm in networks. Specifically, the intelligent orchestration of Vir…
AI-Native Multi-Access Future Networks -- The REASON Architecture
Konstantinos Katsaros, Ioannis Mavromatis, Kostantinos Antonakoglou +13
The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives…