TY  - GEN 
AU  - Rodríguez Barroso, Nuria
AU  - Jiménez López, Daniel
AU  - Luzón García, María Victoria
AU  - Herrera Triguero, Francisco
AU  - Martínez Cámara, Eugenio
PY  - 2022
UR  - https://hdl.handle.net/10481/78598
AB  - Federated learning is a machine learning paradigm that emerges as a solution to the
privacy-preservation demands in artificial intelligence. As machine learning, federated
learning is threatened by adversarial attacks against the integrity of the...
LA  - eng
PB  - Elsevier
KW  - Federated learning
KW  - Adversarial attacks
KW  - Privacy attacks
KW  - Defences
TI  - Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
ER  -