10 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos +1
Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages…
cs.CR2023★ 10 cited
Intrusion Detection based on Federated Learning: a systematic review
Jose L. Hernandez-Ramos, Georgios Karopoulos, Efstratios Chatzoglou +4
The evolution of cybersecurity is undoubtedly associated and intertwined with the development and improvement of artificial intelligence (AI). As a key tool for realizing more cybe…