ISNADI, Isnadi; SYAHLAN, Zainal; MARDIYANTO, Hadi. FEDERATED LEARNING-DRIVEN THREAT DETECTION: A PRIVACY-PRESERVING FRAMEWORK FOR ZERO-DAY ANOMALY DETECTION IN EDGE-COMPUTING NETWORKS. Journal of Computer Science Advancements, [S. l.], v. 4, n. 4, p. 223–244, 2026. DOI: 10.70177/jsca.v4i4.4436. Disponível em: https://research.adra.ac.id/index.php/jcsa/article/view/4436. Acesso em: 12 sep. 2026.