Web: http://arxiv.org/abs/2209.06623

Sept. 15, 2022, 1:11 a.m. | Kaidi Wang, Yi Ma, Mahdi Boloursaz Mashhadi, Chuan Heng Foh, Rahim Tafazolli, Zhi Ding

cs.LG updates on arXiv.org arxiv.org

In this paper, federated learning (FL) over wireless networks is
investigated. In each communication round, a subset of devices is selected to
participate in the aggregation with limited time and energy. In order to
minimize the convergence time, global loss and latency are jointly considered
in a Stackelberg game based framework. Specifically, age of information (AoI)
based device selection is considered at leader-level as a global loss
minimization problem, while sub-channel assignment, computational resource
allocation, and power allocation are considered …

age arxiv federated learning information networks wireless

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