Daniel Jiménez-López

According to our database, Daniel Jiménez-López authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.

María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera

IEEE CAA J. Autom. Sinica, April, 2024

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

CoRR, 2024

2023

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.

Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara

Inf. Fusion, 2023

Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning.

Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera

CoRR, 2023

2020

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

Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Angel Veganzones, Francisco Herrera

Inf. Fusion, 2020