Privacy-preserving federated machine learning on FAIR health data: A real-world application

  • May 20, 2024
by A. Anil Sinaci, Mert Gencturk, Celia Alvarez-Romero, Gokce Banu Laleci Erturkmen, Alicia Martinez-Garcia, María José Escalona-Cuaresma, Carlos Luis Parra-Calderon
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Reference:
A. Anil Sinaci, Mert Gencturk, Celia Alvarez-Romero, Gokce Banu Laleci Erturkmen, Alicia Martinez-Garcia, María José Escalona-Cuaresma, Carlos Luis Parra-Calderon Privacy-preserving federated machine learning on FAIR health data: A real-world applicationIn Computational and Structural Biotechnology Journal, volume 24, February, 2024, pp. 136-145
Bibtex Entry:
@Article{f4h-csbj-2024,
  Title                    = {Privacy-preserving federated machine learning on FAIR health data: A real-world application},
  Author                   = {A. Anil Sinaci and Mert Gencturk and Celia Alvarez-Romero and Gokce Banu {Laleci Erturkmen} and Alicia Martinez-Garcia and María José Escalona-Cuaresma and Carlos Luis Parra-Calderon},
  Journal                  = {Computational and Structural Biotechnology Journal},
  Volume                   = {24},
  Pages                    = {136-145},
  Year                     = {2024},
  Month                    = {February},
  Owner                    = {SRDC},
  Timestamp                = {2024.02.16},
  Url                      = {https://www.sciencedirect.com/science/article/pii/S2001037024000382},
  Doi                      = {https://doi.org/10.1016/j.csbj.2024.02.014}
}