Web: http://arxiv.org/abs/2102.03401

June 17, 2022, 1:11 a.m. | Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis

cs.LG updates on arXiv.org arxiv.org

A new federated learning (FL) framework enabled by large-scale wireless
connectivity is proposed for designing the autonomous controller of connected
and autonomous vehicles (CAVs). In this framework, the learning models used by
the controllers are collaboratively trained among a group of CAVs. To capture
the varying CAV participation in the FL training process and the diverse local
data quality among CAVs, a novel dynamic federated proximal (DFP) algorithm is
proposed that accounts for the mobility of CAVs, the wireless fading …

arxiv autonomous autonomous vehicles design federated learning learning on

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