Álvaro López García
Orcid: 0000-0002-0013-4602Affiliations:
- Spanish National Research Council, Instituto de Física de Cantabria, Spain
According to our database1,
Álvaro López García
authored at least 43 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks.
CoRR, February, 2025
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools.
Artif. Intell. Rev., February, 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data.
CoRR, January, 2025
DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments.
IEEE Access, 2025
2024
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas.
Earth Sci. Informatics, December, 2024
Neural Comput. Appl., August, 2024
Frouros: An open-source Python library for drift detection in machine learning systems.
SoftwareX, 2024
Efficient and scalable covariate drift detection in machine learning systems with serverless computing.
Future Gener. Comput. Syst., 2024
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2024
2023
A container-based workflow for distributed training of deep learning algorithms in HPC clusters.
Clust. Comput., October, 2023
Study of the performance and scalability of federated learning for medical imaging with intermittent clients.
Neurocomputing, 2023
Comparison of machine learning models applied on anonymized data with different techniques.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023
2022
CoRR, 2022
Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study.
CoRR, 2022
2020
Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods.
CoRR, 2020
IEEE Access, 2020
IEEE Access, 2020
2019
J. Open Source Softw., 2019
Future Gener. Comput. Syst., 2019
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey.
Artif. Intell. Rev., 2019
Proceedings of the High Performance Computing, 2019
2018
Softw. Pract. Exp., 2018
J. Grid Comput., 2018
umd-verification: Automation of Software Validation for the EGI Federated e-Infrastructure.
J. Grid Comput., 2018
J. Grid Comput., 2018
Enabling rootless Linux Containers in multi-user environments: The <i>udocker</i> tool.
Comput. Phys. Commun., 2018
2017
INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures.
CoRR, 2017
CoRR, 2017
Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers.
CoRR, 2017
2016
Comput. Stand. Interfaces, 2016
INDIGO-Datacloud: foundations and architectural description of a Platform as a Service oriented to scientific computing.
CoRR, 2016
Proceedings of the CLOSER 2016, 2016
2015
Proceedings of the 1st International Conference on Cloud Forward: From Distributed to Complete Computing, 2015
2013
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013
2012
Comput. Informatics, 2012