TY  - JOUR 
AU  - Rodríguez Barroso, Nuria
AU  - Martínez Cámara, Eugenio
AU  - Luzón García, María Victoria
AU  - Herrera Triguero, Francisco
PY  - 2022
UR  - http://hdl.handle.net/10481/75870
AB  - Federated learning, as a distributed learning that conducts the training on the local devices without accessing to the training data,
is vulnerable to Byzatine poisoning adversarial attacks. We argue that the federated learning model has to avoid...
LA  - eng
PB  - Elsevier
KW  - Federated learning
KW  - Deep learning
KW  - Adversarial attacks
KW  - Byzantine attacks
KW  - Dynamic aggregation operator
TI  - Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning
DO  - 10.1016/j.future.2022.03.003
ER  -