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

@article{Yin2020FedLocFL,
  title={FedLoc: Federated Learning Framework for Data-Driven 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},
  journal={IEEE Open Journal of Signal Processing},
  year={2020},
  volume={1},
  pages={187-215}
}
In this overview paper, data-driven learning model-based cooperative localization and location data processing are considered, in line with the emerging machine learning and big data methods. We first review (1) state-of-the-art algorithms in the context of federated learning, (2) two widely used learning models, namely the deep neural network model and the Gaussian process model, and (3) various distributed model hyper-parameter optimization schemes. Then, we demonstrate various practical use… Expand
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