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Federated Transfer Component Analysis Towards Effective VNF Profiling
The increasing concerns of knowledge transfer and data privacy challenge the traditional gather-and-analyse paradigm in networks.
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities
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 data requiring network-based processing, transmission, and analysis.
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning
A Reinforcement Learning (RL) system depends on a set of initial conditions (hyperparameters) that affect the system's performance.
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