April 29, 2024, 4:11 a.m. | Kongyang Chen, Yi Lin, Hui Luo, Bing Mi, Yatie Xiao, Chao Ma, Jorge S\'a Silva

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.16851v1 Announce Type: new
Abstract: In contemporary edge computing systems, decentralized edge nodes aggregate unprocessed data and facilitate data analytics to uphold low transmission latency and real-time data processing capabilities. Recently, these edge nodes have evolved to facilitate the implementation of distributed machine learning models, utilizing their computational resources to enable intelligent decision-making, thereby giving rise to an emerging domain referred to as edge intelligence. However, within the realm of edge intelligence, susceptibility to numerous security and privacy threats against …

analytics arxiv capabilities computational computing cs.cr data data analytics data processing decentralized distributed edge edge computing enable implementation information information leakage intelligence latency low machine machine learning machine learning models nodes real real-time data resources systems transmission uphold

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