April 29, 2024, 4:42 a.m. | Xunzheng ZhangB, Shadi Moazzeni, Juan Marcelo Parra-Ullauri, Reza Nejabati, Dimitra Simeonidou

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.17553v1 Announce Type: cross
Abstract: The increasing concerns of knowledge transfer and data privacy challenge the traditional gather-and-analyse paradigm in networks. Specifically, the intelligent orchestration of Virtual Network Functions (VNFs) requires understanding and profiling the resource consumption. However, profiling all kinds of VNFs is time-consuming. It is important to consider transferring the well-profiled VNF knowledge to other lack-profiled VNF types while keeping data private. To this end, this paper proposes a Federated Transfer Component Analysis (FTCA) method between the source …

abstract analysis arxiv challenge concerns consumption cs.dc cs.lg cs.ni data data privacy functions gather however intelligent knowledge network networks orchestration paradigm privacy profiling transfer type understanding virtual

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