Web: http://arxiv.org/abs/2209.00195

Sept. 23, 2022, 1:12 a.m. | Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen

cs.LG updates on arXiv.org arxiv.org

Machine learning models have been deployed in mobile networks to deal with
the data from different layers to enable automated network management and
intelligence on devices. To overcome high communication cost and severe privacy
concerns of centralized machine learning, Federated Learning (FL) has been
proposed to achieve distributed machine learning among networked devices. While
the computation and communication limitation has been widely studied in FL, the
impact of on-device storage on the performance of FL is still not explored.
Without …

arxiv data federated learning sampling streaming streaming data

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