Applying Federated Learning in the detection of Freezing of Gait in Parkinson's disease

J. Jorge, Pedro H. Barros, Roberto Sadao Yokoyama, Daniel L. Guidoni, Heitor S. Ramos, Nelson L. S. Da Fonseca, Leandro A. Villas. Applying Federated Learning in the detection of Freezing of Gait in Parkinson's disease. In 15th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2022, Vancouver, WA, USA, December 6-9, 2022. pages 195-200, IEEE, 2022. [doi]

@inproceedings{JorgeBYGRFV22,
  title = {Applying Federated Learning in the detection of Freezing of Gait in Parkinson's disease},
  author = {J. Jorge and Pedro H. Barros and Roberto Sadao Yokoyama and Daniel L. Guidoni and Heitor S. Ramos and Nelson L. S. Da Fonseca and Leandro A. Villas},
  year = {2022},
  doi = {10.1109/UCC56403.2022.00037},
  url = {https://doi.org/10.1109/UCC56403.2022.00037},
  researchr = {https://researchr.org/publication/JorgeBYGRFV22},
  cites = {0},
  citedby = {0},
  pages = {195-200},
  booktitle = {15th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2022, Vancouver, WA, USA, December 6-9, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6087-3},
}