9 citations · 9 across the 3 of their papers we have counts for
3 papers
Cooperative Task Offloading through Asynchronous Deep Reinforcement Learning in Mobile Edge Computing for Future Networks
Yuelin Liu, Haiyuan Li, Xenofon Vasilakos +2
Future networks (including 6G) are poised to accelerate the realisation of Internet of Everything. However, it will result in a high demand for computing resources to support new s…
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 Fairness Analytics: Quantifying Fairness in Federated Learning
Oscar Dilley, Juan Marcelo Parra-Ullauri, Rasheed Hussain +1
Federated Learning (FL) is a privacy-enhancing technology for distributed ML. By training models locally and aggregating updates - a federation learns together, while bypassing cen…