Privacy-preserving federated machine learning on FAIR health data: A real-world application
by A. Anil Sinaci, Mert Gencturk, Celia Alvarez-Romero, Gokce Banu Laleci Erturkmen, Alicia Martinez-Garcia, María José Escalona-Cuaresma and Carlos Luis Parra-Calderon
Reference:
A. Anil Sinaci, Mert Gencturk, Celia Alvarez-Romero, Gokce Banu Laleci Erturkmen, Alicia Martinez-Garcia, María José Escalona-Cuaresma and Carlos Luis Parra-Calderon Privacy-preserving federated machine learning on FAIR health data: A real-world application In 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} }