Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. Rauniyar, A., Hagos, D. H., Jha, D., Håkegård, J. E., Bagci, U., Rawat, D. B., & Vlassov, V. CoRR, 2022.
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions [link]Paper  doi  bibtex   
@article{DBLP:journals/corr/abs-2208-03392,
  author       = {Ashish Rauniyar and
                  Desta Haileselassie Hagos and
                  Debesh Jha and
                  Jan Erik H{\aa}keg{\aa}rd and
                  Ulas Bagci and
                  Danda B. Rawat and
                  Vladimir Vlassov},
  title        = {Federated Learning for Medical Applications: {A} Taxonomy, Current
                  Trends, Challenges, and Future Research Directions},
  journal      = {CoRR},
  volume       = {abs/2208.03392},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2208.03392},
  doi          = {10.48550/ARXIV.2208.03392},
  eprinttype    = {arXiv},
  eprint       = {2208.03392},
  timestamp    = {Tue, 16 Aug 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2208-03392.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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