Daniel Mauricio Jimenez Gutierrez

According to our database, Daniel Mauricio Jimenez Gutierrez authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning.

Daniel Mauricio Jimenez Gutierrez, Enrique Zuazua, Georgios Kellaris, Joaquín del Río, Oleksii Sliusarenko, Xabi Uribe-Etxebarria

CoRR, May, 2026

Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers.

Daniel Mauricio Jimenez Gutierrez, Enrique Zuazua, Georgios Kellaris, Joaquín del Río, Oleksii Sliusarenko, Xabi Uribe-Etxebarria

CoRR, April, 2026

FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data.

Daniel Mauricio Jimenez Gutierrez, Giovanni Giunta, Mehrdad Hassanzadeh, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

CoRR, March, 2026

A thorough assessment of the non-IID data impact in federated learning.

Daniel Mauricio Jimenez Gutierrez, Mehrdad Hassanzadeh, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

J. Ind. Inf. Integr., 2026

On the security and privacy of federated learning: A survey with attacks, defenses, frameworks, applications, and future directions.

Daniel Mauricio Jimenez Gutierrez, Yelizaveta Falkouskaya, José Luis Hernández-Ramos, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

Inf. Fusion, 2026

2025

Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning.

Daniel Mauricio Jimenez Gutierrez, Mehrdad Hassanzadeh, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

CoRR, December, 2025

Training Together, Diagnosing Better: Federated Learning for Collagen VI-Related Dystrophies.

Astrid Brull, Sara Aguti, Véronique Bolduc, Ying Hu, Daniel Mauricio Jimenez Gutierrez, Enrique Zuazua, Joaquín del Río, Oleksii Sliusarenko, Haiyan Zhou, Francesco Muntoni, Carsten G. Bönnemann, Xabi Uribe-Etxebarria

CoRR, December, 2025

Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data.

Daniel Mauricio Jimenez Gutierrez, Enrique Zuazua, Joaquín del Río, Oleksii Sliusarenko, Xabi Uribe-Etxebarria

CoRR, November, 2025

Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems.

Daniel Mauricio Jimenez Gutierrez, Enrique Zuazua, Joaquín del Río, Oleksii Sliusarenko, Xabi Uribe-Etxebarria

CoRR, November, 2025

The Sherpa.ai Blind Vertical Federated Learning Paradigm to Minimize the Number of Communications.

Alex Acero, Daniel Mauricio Jimenez Gutierrez, Dario Pighin, Enrique Zuazua, Joaquín del Río, Xabi Uribe-Etxebarria

CoRR, October, 2025

PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning.

Daniel Mauricio Jimenez Gutierrez, David Solans, Mohammed Elbamby, Nicolas Kourtellis

CoRR, June, 2025

Graph neural networks to model and optimize the operation of Water Distribution Networks: A review.

Giacomo Vittori, Yelizaveta Falkouskaya, Daniel Mauricio Jimenez Gutierrez, Tiziana Cattai, Ioannis Chatzigiannakis

J. Ind. Inf. Integr., 2025

2024

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions.

Daniel Mauricio Jimenez Gutierrez, David Solans, Mikko A. Heikkilä, Andrea Vitaletti, Nicolas Kourtellis, Aris Anagnostopoulos, Ioannis Chatzigiannakis

CoRR, 2024

FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research.

Daniel Mauricio Jimenez Gutierrez, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

IEEE Access, 2024

2023

Device discovery and tracing in the Bluetooth Low Energy domain.

Pierluigi Locatelli, Massimo Perri, Daniel Mauricio Jimenez Gutierrez, Andrea Lacava, Francesca Cuomo

Comput. Commun., 2023

Olive Leaf Infection Detection Using the Cloud-Edge Continuum.

Themistoklis Sarantakos, Daniel Mauricio Jimenez Gutierrez, Dimitrios Amaxilatis

Proceedings of the Algorithmic Aspects of Cloud Computing - 8th International Symposium, 2023

Application of Federated Learning Techniques for Arrhythmia Classification Using 12-Lead ECG Signals.

Daniel Mauricio Jimenez Gutierrez, Hafiz Muuhammad Hassan, Lorella Landi, Andrea Vitaletti, Ioannis Chatzigiannakis

Proceedings of the Algorithmic Aspects of Cloud Computing - 8th International Symposium, 2023