June 6, 2024, 4:45 a.m. | Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Huiling Zhu, Khaled B. Letaief

cs.LG updates on arXiv.org arxiv.org

arXiv:2401.09886v2 Announce Type: replace
Abstract: Edge caching is a promising solution for next-generation networks by empowering caching units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' requested contents that have been pre-cached in SBSs. It is crucial for SBSs to predict accurate popular contents through learning while protecting users' personal information. Traditional federated learning (FL) can protect users' privacy but the data discrepancies among UEs can lead to a degradation in model quality. Therefore, it …

abstract agent arxiv caching contents cs.ai cs.lg edge elastic fetch multi-agent network networks next reinforcement reinforcement learning replace small solution type units

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