TY  - JOUR 
AU  - Rodríguez Barroso, Nuria
AU  - Jiménez López, Daniel
AU  - Ruiz Millán, José Antonio
AU  - Martínez Cámara, Eugenio
AU  - Luzón García, María Victoria
AU  - Herrera Triguero, Francisco
PY  - 2020
UR  - https://hdl.handle.net/10481/77990
AB  - The high demand of artificial intelligence services at the edges that also preserve data privacy
has pushed the research on novel machine learning paradigms that fit these requirements.
Federated learning has the ambition to protect data privacy...
LA  - eng
PB  - Elsevier
KW  - Federated learning
KW  - Differential privacy
KW  - Software framework
KW  - Sherpa.ai Federated Learning framework
KW  - Inteligencia artificial
KW  - Artificial intelligence
TI  - Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
ER  -