Feb. 16, 2024, 5:43 a.m. | Jiacheng Yao, Wei Xu, Zhaohui Yang, Xiaohu You, Mehdi Bennis, H. Vincent Poor

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09657v1 Announce Type: cross
Abstract: In this paper, we quantitatively compare these two effective communication schemes, i.e., digital and analog ones, for wireless federated learning (FL) over resource-constrained networks, highlighting their essential differences as well as their respective application scenarios. We first examine both digital and analog transmission methods, together with a unified and fair comparison scheme under practical constraints. A universal convergence analysis under various imperfections is established for FL performance evaluation in wireless networks. These analytical results reveal …

abstract analog application arxiv communication cs.it cs.lg differences digital federated learning highlighting math.it networks paper together type wireless

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