Daniel Jiménez-López

Orcid: 0000-0002-8575-472X

According to our database1, Daniel Jiménez-López authored at least 5 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.
IEEE CAA J. Autom. Sinica, April, 2024

FLEX: FLEXible Federated Learning Framework.
CoRR, 2024

2023
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.
Inf. Fusion, 2023

Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning.
CoRR, 2023

2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy.
Inf. Fusion, 2020


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