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

8 Mar 2020Feng YinZhidi LinYue XuQinglei KongDeshi LiSergios TheodoridisShuguangCui

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... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper