Daniel Jimenez Lopez
Contrato Investigador con Cargo a Proyecto, Departamento de Ciencias de la Computación e Inteligencia Artificial · Universidad de Granada
Research Interests
Differential Privacy, Machine Learning, Deep Learning
Biography
I am a passionate researcher and developer. I have learnt the intrinsic relation between mathematics and computer science presented in deep learning through earning a degree in both fields. Currently, I am working on my PhD on differential privacy and federated learning. The Python programming language is among my main interests, as it provides a neat starting point to develop and test new ideas. Furthermore, I dream a future of enhanced privacy, where many private data sources can be exploited without compromising the privacy of the data owners. Out of work time, I enjoy playing Keyforge card game and bringing new life to old devices using Linux distros.
Research Outputs
Sherpa.AI Federated Learning Framework
Links
- ORCID https://orcid.org/0000-0002-8575-472X
- Google Scholar https://scholar.google.com/citations?user=Iqxbid0AAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None