Federated Learning over Energy Harvesting Wireless Networks

@article{Hamdi2021FederatedLO,
  title={Federated Learning over Energy Harvesting Wireless Networks},
  author={Rami Hamdi and Mingzhe Chen and Ahmed Ben Said and M. Qaraqe and H. Poor},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.08809}
}
In this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) employs massive multiple-input multiple-output (MIMO) to serve a set of users powered by independent energy harvesting sources. Since a certain number of users may not be able to participate in FL due to the interference and energy constraints, a joint energy management and user scheduling problem in FL over wireless systems is formulated. This problem… Expand

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