Mario García-Márquez

According to our database, Mario García-Márquez authored at least 7 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning.

Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

CoRR, February, 2026

From privacy to trust in the agentic era: a taxonomy of challenges in trustworthy federated learning through the lens of trust report 2.0.

Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera

Inf. Fusion, 2026

2025

Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work.

Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera

CoRR, July, 2025

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

Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

CoRR, February, 2025

Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance.

Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

Knowl. Based Syst., 2025

FLEX: Flexible Federated Learning Framework.

Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón

Inf. Fusion, 2025

Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation.

Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

Proceedings of the International Joint Conference on Neural Networks, 2025