TY  - JOUR
AU  - Victoria Luzon, M.
AU  - Rodriguez-Barroso, Nuria
AU  - Argente-Garrido, Alberto
AU  - Jimenez-Lopez, Daniel
AU  - Moyano, Jose M.
AU  - Del Ser, Javier
AU  - Ding, Weiping
AU  - Herrera, Francisco
PY  - 2024
DO  - 10.1109/JAS.2024.124215
SN  - 2329-9266
UR  - https://hdl.handle.net/11556/4974
AB  - When data privacy is imposed as a necessity, Federated learning (FL) emerges as a relevant artificial intelligence field for developing machine learning (ML) models in a distributed and decentralized environment. FL allows ML models to be trained on...
LA  - eng
TI  - A Tutorial on Federated Learning from Theory to Practice: 												Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends
TY  - journal article
ER  -