Corpus ID: 212633505

FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing

@article{Yin2020FedLocFL,
  title={FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing},
  author={Feng Yin and Zhidi Lin and Yue Xu and Qinglei Kong and Deshi Li and S. Theodoridis and Shuguang Cui},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.03697}
}
In this paper, we propose a new localization framework in which mobile users or smart agents can cooperate to build accurate location services without sacrificing privacy, in particular, information related to their trajectories. The proposed framework is called Federated Localization (FedLoc), simply because it adopts the recently proposed federated learning. Apart from the new FedLoc framework, this paper can be deemed as an overview paper, in which we review the state-ofthe-art federated… Expand
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