TY  - GEN 
AU  - Rivas, Jose M.
AU  - Fernández Basso, Carlos Jesús
AU  - Morcillo-Jiménez, Roberto
AU  - Paños-Basterra, Juan
AU  - Ruiz Jiménez, María Dolores
AU  - Martín Bautista, María José
PY  - 2024
UR  - https://hdl.handle.net/10481/104637
AB  - Federated learning enables collaborative data analysis without the need to share sensitive information among participants, addressing privacy concerns in domains such as healthcare and finance. However, current federated simulation environments face...
LA  - eng
PB  - Springer Nature
KW  - Federated learning
KW  - Simulation environment
KW  - Data privacy
KW  - Scalable platform
KW  - Application in healthcare data
TI  - Simulafed: an enhanced federated simulated environment for privacy and security in health
DO  - 10.1007/s00607-024-01364-0
ER  -