M. V. Luzón

activity

20202026

most citedFederated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

149 citations · 153 across the 8 of their papers we have counts for

collaborators

Showing 2025 · cs.LGShow all

2 papers · 2 filters

cs.LG2025

Improving $(α, f)$ -Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance

Mario García-Márquez, Nuria Rodríguez-Barroso, M. Victoria Luzón +1

The rapid development of artificial intelligence systems has amplified societal concerns regarding their usage, necessitating regulatory frameworks that encompass data privacy. Fed…

cs.LG2025★ 2 cited

Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning

Mario García-Márquez, Nuria Rodríguez-Barroso, M. Victoria Luzón +1

Federated Learning presents a nascent approach to machine learning, enabling collaborative model training across decentralized devices while safeguarding data privacy. However, its…

Improving (α,f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance

Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning

Improving $(α, f)$ -Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance