581 citations · 584 across the 4 of their papers we have counts for
3 papers · 1 filter
DecoyTrace: Toxic Decoys for Active Defense in Decentralized Federated Learning
Pedro Beltrán-López, Enrique Tomás Martínez Beltrán, Pantaleone Nespoli +2
Decentralized Federated Learning (DFL) eliminates the central aggregation server, reducing the single point of observation that traditional defenses against attacks rely on. As a r…
RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
Isaac Marroqui Penalva, Enrique Tomás Martínez Beltrán, Manuel Gil Pérez +1
Decentralized Federated Learning (DFL) enables nodes to collaboratively train models without a central server, introducing new vulnerabilities since each node independently selects…
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning
Ángel Luis Perales Gómez, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez +1
Industry 4.0 has brought numerous advantages, such as increasing productivity through automation. However, it also presents major cybersecurity issues such as cyberattacks affectin…