Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study. - Ignacio Heredia Cacha; Judith Sáinz-Pardo Díaz; María Castrillo Melguizo; Álvaro López García (CoRR, 2022)

pyCANON: A Python library to check the level of anonymity of a dataset. - Judith Sáinz-Pardo Díaz; Álvaro López García (CoRR, 2022)

Comparison of machine learning models applied on anonymized data with different techniques. - Judith Sáinz-Pardo Díaz; Álvaro López García (CSR, 2023)

Study of the performance and scalability of federated learning for medical imaging with intermittent clients. - Judith Sáinz-Pardo Díaz; Álvaro López García (Neurocomputing, 2023)

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach. - Judith Sáinz-Pardo Díaz; Andrés Heredia Canales; Ignacio Heredia Cacha; Viet D. Tran; Giang T. Nguyen 001; Khadijeh Alibabaei; Marta Obregón Ruiz; Susana Rebolledo Ruiz; Álvaro López García (IH&MMSec, 2024)

An Open Source Python Library for Anonymizing Sensitive Data. - Judith Sáinz-Pardo Díaz; Álvaro López García (CoRR, 2024)

Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas. - Judith Sáinz-Pardo Díaz; María Castrillo; Juraj Bartok; Ignacio Heredia Cacha; Irina Malkin Ondík; Ivan Martynovskyi; Khadijeh Alibabaei; Lisana Berberi; Valentin Kozlov; Álvaro López García (Earth Sci. Informatics, 2024)

Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches. - Leonhard Duda; Khadijeh Alibabaei; Elena Vollmer; Leon Klug; Valentin Kozlov; Lisana Berberi; Mishal Benz; Rebekka Volk; Juan Pedro Gutiérrez H. Muriedas; Markus Götz; Judith Sáinz-Pardo Díaz; Álvaro López García; et al. (ICCSA (1), 2025)

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data. - Judith Sáinz-Pardo Díaz; Álvaro López García (CoRR, 2025)

Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools. - Giang Thu Nguyen; Judith Sáinz-Pardo Díaz; Amanda Calatrava; Lisana Berberi; Oleksandr Lytvyn; Valentin Kozlov; Viet D. Tran; Germán Moltó; Álvaro López García (Artif. Intell. Rev., 2025)

Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks. - Judith Sáinz-Pardo Díaz; Andreas Athanasiou; Kangsoo Jung; Catuscia Palamidessi; Álvaro López García (CoRR, 2025)

Machine learning operations landscape: platforms and tools. - Lisana Berberi; Valentin Kozlov; Giang Nguyen 001; Judith Sáinz-Pardo Díaz; Amanda Calatrava; Germán Moltó; Viet D. Tran; Álvaro López García (Artif. Intell. Rev., 2025)