Artificial Intelligence for the European Open Science Cloud

Research InfrastructuresHORIZON-RIAID: 101058593
EC Contribution
€49,971
Consortium Size
10 orgs
Start Year
2022
Summary

The AI4EOSC (Artificial Intelligence for the European Open Science Cloud) delivers an enhanced set of advanced services for the development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models and applications in the European Open Science Cloud (EOSC). These services are bundled together into a comprehensive platform providing advanced features such as distributed, federated and split learning; novel provenance metadata for AI/ML/DL models; event-driven data processing services or provisioning of AI/ML/DL services based on serverless computing. The project builds on top of the DEEP-Hybrid-DataCloud outcomes and the EOSC compute platform and services in order to provide this specialized compute platform. Moreover, AI4EOSC offers customization components in order to provide tailor made deployments of the platform, adapting to the evolving user needs.The main outcomes of the AI4EOSC project will be a measurable increase of the number of advanced, high level, customizable services available through the EOSC portal, serving as a catalyst for researchers, facilitating the collaboration, easing access to high-end pan-European resources and reducing the time to results; paired with concrete contributions to the EOSC exploitation perspective, creating a new channel to support the build-up of the EOSC Artificial Intelligence and Machine Learning community of practice.

Consortium (10)

Project Results (59)

Source: CORDIS, the EU research results database.

Publications (32)
Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· 2025DOI
Elena Vollmer, Mishal Benz, James Kahn, Leon Klug, Rebekka Volk, Frank Schultmann, Markus Götz
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches
Lecture Notes in Computer Science, Computational Science and Its Applications – ICCSA 2025· 2025DOI
Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez Hermosillo Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit
iMagine: AI-Powered Image Data Analysis in Aquatic Science
Proceedings of the Platform for Advanced Scientific Computing Conference· 2025DOI
Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Álvaro López García; Dick Schaap; Gergely Sipos
Leak detection using thermal imagery: Deep learning versus traditional computer vision state-of-the-art
ISPRS Journal of Photogrammetry and Remote Sensing· 2025DOI
Elena Vollmer, Julian Ruck, Rebekka Volk, Frank Schultmann
Machine learning operations landscape: platforms and tools
Artificial Intelligence Review· 2025DOI
Lisana Berberi, Valentin Kozlov, Giang Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Germán Moltó, Viet Tran, Álvaro López García
On the reconstruction of ocean interior variables: a feasibility data-driven study with simulated surface and water column observations
Ocean Science· 2025DOI
Aina García-Espriu; Cristina González-Haro; Fernando Aguilar-Gómez
Optimal Differential Privacy for Deep Learning Model Training
Procedia Computer Science· 2025DOI
Hlib Kokin, Oleksandr Lytvyn, Giang Nguyen
Rescheduling serverless workloads across the cloud-to-edge continuum
Future Generation Computer Systems· 2025DOI
Sebastián Risco, Caterina Alarcón, Sergio Langarita, Miguel Caballer, Germán Moltó
A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays
Nature Scientific Data· 2024DOI
Fernández-Miranda, P.M., Fraguela, E.M., de Linera-Alperi, M.Á. et al.
Atmosphere
Atmosphere· 2024DOI
Zuzana Gáborčíková; Juraj Bartok; Irina Malkin Ondík; Wanda Benešová; Lukáš Ivica; Silvia Hnilicová; Ladislav Gaál
Big Data Deduplication in Data Lake
Acta Polytechnica Hungarica· 2024DOI
Jakub Hlavačka, Martin Bobák, Ladislav Hluchý
Detecting district heating leaks in thermal imagery: Comparison of anomaly detection methods
Automation in Construction· 2024DOI
Vollmer, Elena; Ruck, Julian; Volk, Rebekka; Schultmann, Frank
Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard
NAR Genomics and Bioinformatics· 2024DOI
Marco Antonio Tangaro; Marica Antonacci; Giacinto Donvito; Nadina Foggetti; Pietro Mandreoli; Daniele Colombo; Graziano Pesole; Federico Zambelli
Efficient and scalable covariate drift detection in machine learning systems with serverless computing
Future Generation Computer Systems· 2024DOI
Jaime Céspedes Sisniega, Vicente Rodríguez, Germán Moltó, Álvaro López García
Enhancing AI development in the EOSC context: AI4EOSC and iMagine
IBERGRID2024· 2024DOI
Alibabaei, Khadijeh; Kozlov, Valentin; Lopez Garcia, Alvaro; Sipos, Gergely
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
Artificial Intelligence Review· 2024DOI
Giang Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Lisana Berberi, Oleksandr Lytvyn, Valentin Kozlov, Viet Tran, Germán Moltó, Álvaro López García
Making Federated Learning Accessible to Scientists: The AI4EOSC Approach
IH&MMSec '24: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security· 2024DOI
Sáinz-Pardo Díaz, Judith; Heredia Canales, Andres; Heredia, Ignacio; Viet, Tran; Nguyen, Giang; Alibabaei, Khadijeh; Obregón Ruiz, Marta; Rebolledo Ruiz, Susana; López García, Álvaro
Network security AIOps for online stream data monitoring
Neural Computing and Applications· 2024DOI
Giang Nguyen; Stefan Dlugolinsky; Viet Tran; Álvaro López García
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas
Earth Science Informatics· 2024DOI
Sinz-Pardo Daz, Judith; Castrillo, Mara; Bartok, Juraj; Heredia, Ignacio; Ondk, Irina Malkin; Martynovskyi, Ivan; Alibabaei, Khadijeh; Berberi, Lisana; Kozlov, Valentin; Lpez Garca, lvaro
Secure Federated Learning for Multi-Party Network Monitoring
IEEE Access· 2024DOI
Oleksandr Lytvyn, Giang Nguyen
Comparison of machine learning models applied on anonymized data with different techniques
2023 IEEE International Conference on Cyber Security and Resilience (CSR)· 2023
Sinz-Pardo Daz, Judith; Lpez Garca, lvaro
Data Partitioning Effects in Federated Learning
Software Quality Analysis, Monitoring, Improvement, and Applications 2023· 2023DOI
Ahmadzai, Mirwais; Nguyen, Giang
Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized data
Water Research· 2023DOI
Sáinz-Pardo Díaz, Judith; Castrillo, María; López García, Álvaro
Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows
Scientific Data· 2023DOI
Miriam Cobo; Pablo Menéndez Fernández-Miranda; Gorka Bastarrika; Lara Lloret Iglesias
Infrastructure Manager: A TOSCA-Based Orchestrator for the Computing Continuum
Journal of Grid Computing· 2023DOI
Caballer, Miguel; Moltó, Germán; Calatrava, Amanda; Blanquer, Ignacio
Secure Multi-Party Computation for Magnetic Resonance Imaging Classification
Procedia Computer Science· 2023DOI
Giang Nguyen, Oleksandr Lytvyn
Study of the performance and scalability of federated learning for medical imaging with intermittent clients
Neurocomputing· 2023DOI
Sáinz-Pardo Díaz, Judith; López García, Álvaro
A Python library to check the level of anonymity of a dataset
Scientific Data· 2022DOI
Judith Sáinz-Pardo Díaz, Álvaro López García
An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks
nternational Journal of Computational Intelligence Systems· 2022DOI
Giang Nguyen, Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang Nguyen
Frouros: A Python library for drift detection in machine learning systems
SoftwareX· 2022DOI
Céspedes-Sisniega, Jaime; López-García, Álvaro
PRIVACY PRESERVING TECHNIQUES IN DATA SCIENCE ENVIRONMENTS
JUDITH SÁINZ-PARDO DÍAZ
Robust and explainable deep learning for computed tomography-based diagnostic systems
Cobo Cano, Miriam
Deliverables (26)
Documents, reports
Demonstrators, pilots, prototypes
Documents, reports
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Documents, reports
Other Results (1)
Periodic Reporting for period 1 - AI4EOSC (Artificial Intelligence for the European Open Science Cloud)