Web: http://arxiv.org/abs/2209.10722

Sept. 23, 2022, 1:11 a.m. | Xiaoyan Liu, Zehui Dong, Zhiwei Xu, Siyuan Liu, Jie Tian

cs.LG updates on arXiv.org arxiv.org

Advanced researches on connected vehicles have recently targeted to the
integration of vehicle-to-everything (V2X) networks with Machine Learning (ML)
tools and distributed decision making. Federated learning (FL) is emerging as a
new paradigm to train machine learning (ML) models in distributed systems,
including vehicles in V2X networks. Rather than sharing and uploading the
training data to the server, the updating of model parameters (e.g., neural
networks' weights and biases) is applied by large populations of interconnected
vehicles, acting as local …

arxiv decentralized federated learning

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