Evading model poisoning attacks in federated learning by a long-short-term-memory-based approach
Articolo
Data di Pubblicazione:
2024
Citazione:
Evading model poisoning attacks in federated learning by a long-short-term-memory-based approach / Arazzi, M., Lax, G., Nocera, A.. - In: INTEGRATED COMPUTER-AIDED ENGINEERING. - ISSN 1069-2509. - 32:2(2024), pp. 111-125. [10.1177/10692509241301588]
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Arazzi, Marco; Lax, Gianluca; Nocera, Antonino
Link alla scheda completa:
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