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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.
iOn-Profiler: intelligent Online multi-objective VNF Profiling with Reinforcement Learning
Leveraging the potential of Virtualised Network Functions (VNFs) requires a clear understanding of the link between resource consumption and performance.
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning
At the edge, dynamic computing requests require advanced resource management for adaptive network slicing, including resource allocations, function scaling and load balancing to utilize only the necessary resources in resource-constraint networks.
Seer: Empowering Software Defined Networking with Data Analytics
Network complexity is increasing, making network control and orchestration a challenging task.
