9 citations · 12 across the 8 of their papers we have counts for
10 papers
Role-Based Agentic AI for Intent-Driven Network and Service Orchestration
Juan Parra-Ullauri, Talha Ahmed Khan, Daniel McHugh +4
Telecommunication networks are increasingly complex due to heterogeneous technologies, diverse service requirements, and growing demands for resource efficiency and business agilit…
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…
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems
Juan Marcelo Parra-Ullauri, Oscar Dilley, Hari Madhukumar +1
The rapid growth of end-user AI applications, such as computer vision and generative AI, has led to immense data and processing demands often exceeding user devices' capabilities.…
Resource Management and Circuit Scheduling for Distributed Quantum Computing Interconnect Networks
Sima Bahrani, Romerson D. Oliveira, Juan Marcelo Parra-Ullauri +2
Distributed quantum computing (DQC) has emerged as a promising approach to overcome the scalability limitations of monolithic quantum processors in terms of computational capabilit…
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…
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 Model Placement for 6G Networks under Epistemic Uncertainty Estimation
Liming Huang, Yulei Wu, Juan Marcelo Parra-Ullauri +2
The adoption of Artificial Intelligence (AI) based Virtual Network Functions (VNFs) has witnessed significant growth, posing a critical challenge in orchestrating AI models within…
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities
Juan Marcelo Parra-Ullauri, Xunzheng Zhang, Anderson Bravalheri +3
Extensive research is underway to meet the hyper-connectivity demands of 6G networks, driven by applications like XR/VR and holographic communications, which generate substantial d…
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning
Juan Marcelo Parra-Ullauri, Chen Zhen, Antonio García-Domínguez +5
A Reinforcement Learning (RL) system depends on a set of initial conditions (hyperparameters) that affect the system's performance. However, defining a good choice of hyperparamete…
Reward-Reinforced Reinforcement Learning for Multi-agent Systems
Changgang Zheng, Shufan Yang, Juan Parra-Ullauri +2
Reinforcement learning algorithms in multi-agent systems deliver highly resilient and adaptable solutions for common problems in telecommunications,aerospace, and industrial roboti…