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Daniel Jiménez-López
Daniel Jiménez-López
Investigador contratado, Universidad de Granada
Verified email at go.ugr.es
Title
Cited by
Cited by
Year
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa. ai FL framework and methodological guidelines for preserving data privacy
N Rodríguez-Barroso, G Stipcich, D Jiménez-López, JA Ruiz-Millán, ...
Information Fusion 64, 270-292, 2020
1102020
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
N Rodríguez-Barroso, D Jiménez-López, MV Luzón, F Herrera, ...
Information Fusion 90, 148-173, 2023
1012023
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends
MV Luzón, N Rodríguez-Barroso, A Argente-Garrido, D Jiménez-López, ...
IEEE/CAA Journal of Automatica Sinica 11 (4), 824-850, 2024
12024
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning
M Victoria
arXiv preprint arXiv:2311.11717, 2023
2023
Flex: Flexible Federated Learning Framework
F Herrera, D Jiménez-López, A Argente-Garrido, N Rodríguez-Barroso, ...
Available at SSRN 4764504, 0
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Articles 1–5