{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T20:52:19Z","timestamp":1785876739289,"version":"3.56.0"},"reference-count":61,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T00:00:00Z","timestamp":1782432000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020259","name":"Instituto de F\u00edsica de Cantabria","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100020259","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100019771","name":"European Union&apos;s Research and Innovation","doi-asserted-by":"publisher","award":["101058593"],"award-info":[{"award-number":["101058593"]}],"id":[{"id":"10.13039\/100019771","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Future Generation Computer Systems"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.future.2026.108672","type":"journal-article","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T23:33:19Z","timestamp":1782516799000},"page":"108672","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["AI4EOSC: A federated cloud platform for Artificial Intelligence in scientific research"],"prefix":"10.1016","volume":"185","author":[{"given":"Ignacio","family":"Heredia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0013-4602","authenticated-orcid":false,"given":"\u00c1lvaro","family":"L\u00f3pez Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando","family":"Aguilar G\u00f3mez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diego","family":"Aguirre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caterina","family":"Alarc\u00f3n Mar\u00edn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Khadijeh","family":"Alibabaei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisana","family":"Berberi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel","family":"Caballer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda","family":"Calatrava","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedro","family":"Castro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Costantini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mario","family":"David","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaime","family":"D\u00edez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Dlugolinsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giacinto","family":"Donvito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonhard","family":"Duda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Borja","family":"Esteban Sanchis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sa\u00fal","family":"Fernandez Tob\u00edas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9s","family":"Heredia Canales","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentin","family":"Kozlov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergio","family":"Langarita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jo\u00e3o","family":"Machado","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"San Mart\u00edn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Germ\u00e1n","family":"Molt\u00f3","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giang","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marta","family":"Obreg\u00f3n Ruiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcin","family":"P\u0142\u00f3ciennik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susana","family":"Rebolledo Ruiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vicente","family":"Rodriguez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judith","family":"S\u00e1inz-Pardo D\u00edaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"\u0160eleng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viet","family":"Tran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"241","key":"10.1016\/j.future.2026.108672_b1","first-page":"1","article-title":"Gold-medalist performance in solving olympiad geometry with AlphaGeometry2","volume":"26","author":"Chervonyi","year":"2025","journal-title":"J. Mach. Learn. Res."},{"issue":"7873","key":"10.1016\/j.future.2026.108672_b2","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/s41586-021-03819-2","article-title":"Highly accurate protein structure prediction with AlphaFold","volume":"596","author":"Jumper","year":"2021","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.future.2026.108672_b3","doi-asserted-by":"crossref","first-page":"5145","DOI":"10.1038\/s41467-022-32483-x","article-title":"Deep learning for twelve hour precipitation forecasts","volume":"13","author":"Espeholt","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.future.2026.108672_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.techsoc.2023.102232","article-title":"The blended future of automation and AI: Examining some long-term societal and ethical impact features","volume":"73","author":"Khogali","year":"2023","journal-title":"Technol. Soc."},{"key":"10.1016\/j.future.2026.108672_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.infsof.2024.107610","article-title":"Using AI-based coding assistants in practice: State of affairs, perceptions, and ways forward","volume":"178","author":"Sergeyuk","year":"2025","journal-title":"Inf. Softw. Technol."},{"issue":"8099","key":"10.1016\/j.future.2026.108672_b6","doi-asserted-by":"crossref","first-page":"1237","DOI":"10.1038\/s41586-025-09922-y","article-title":"Artificial intelligence tools expand scientists\u2019 impact but contract science\u2019s focus","volume":"649","author":"Hao","year":"2026","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.future.2026.108672_b7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2016.18","article-title":"The FAIR guiding principles for scientific data management and stewardship","volume":"3","author":"Wilkinson","year":"2016","journal-title":"Sci. Data"},{"issue":"6","key":"10.1016\/j.future.2026.108672_b8","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/s10462-025-11164-3","article-title":"Machine learning operations landscape: platforms and tools","volume":"58","author":"Berberi","year":"2025","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.future.2026.108672_b9","series-title":"Strategic research and innovation agenda (SRIA) of the European open science cloud (EOSC)","author":"Directorate-General for Research and Innovation (European Commission)","year":"2022"},{"key":"10.1016\/j.future.2026.108672_b10","series-title":"Kubeflow: Machine learning toolkit for kubernetes","year":"2018"},{"key":"10.1016\/j.future.2026.108672_b11","series-title":"Polyaxon","author":"Polyaxon","year":"2025"},{"issue":"4","key":"10.1016\/j.future.2026.108672_b12","first-page":"39","article-title":"Accelerating the machine learning lifecycle with mlflow","volume":"41","author":"Zaharia","year":"2018","journal-title":"IEEE Data Eng. Bull."},{"key":"10.1016\/j.future.2026.108672_b13","series-title":"Labml.AI: A library to organize machine learning experiments","author":"Jayasiri","year":"2020"},{"key":"10.1016\/j.future.2026.108672_b14","series-title":"Weights and biases","author":"CoreWeave","year":"2020"},{"key":"10.1016\/j.future.2026.108672_b15","series-title":"Valohai","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b16","series-title":"Comet","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b17","series-title":"H2O.AI","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b18","series-title":"Google vertex AI","author":"Alphabet","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b19","series-title":"Amazon sagemaker","author":"Amazon","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b20","series-title":"Azure AI machine learning studio","author":"Microsoft","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b21","series-title":"Seldon core: Open source platform for deploying machine learning models on kubernetes","author":"Seldon Technologies Ltd.","year":"2015"},{"key":"10.1016\/j.future.2026.108672_b22","series-title":"Hugging face \u2013 the AI community building the future.","year":"2026"},{"issue":"7","key":"10.1016\/j.future.2026.108672_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.patter.2025.101317","article-title":"OpenML: Insights from 10 years and more than a thousand papers","volume":"6","author":"Bischl","year":"2025","journal-title":"Patterns"},{"key":"10.1016\/j.future.2026.108672_b24","series-title":"Bioimage model zoo: A community-driven resource for accessible deep learning in bioimage analysis","author":"Ouyang","year":"2022"},{"issue":"6","key":"10.1016\/j.future.2026.108672_b25","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1038\/s41587-019-0140-0","article-title":"The kipoi repository accelerates community exchange and reuse of predictive models for genomics","volume":"37","author":"Avsec","year":"2019","journal-title":"Nature Biotechnol."},{"key":"10.1016\/j.future.2026.108672_b26","series-title":"Workshop Proceedings of the 54th International Conference on Parallel Processing","first-page":"167","article-title":"Provenance tracking in large-scale machine learning systems","author":"Padovani","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b27","doi-asserted-by":"crossref","first-page":"18681","DOI":"10.1109\/ACCESS.2020.2964386","article-title":"A cloud-based framework for machine learning workloads and applications","volume":"8","author":"Lopez Garcia","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.future.2026.108672_b28","series-title":"FAIR data productivity and advanced digitalization of research: An opinion paper by the ESFRI-EOSC task force and steering board expert group (e03756)","author":"ESFRI-EOSC Task Force","year":"2024"},{"key":"10.1016\/j.future.2026.108672_b29","series-title":"The C4 Model","author":"Brown","year":"2026"},{"key":"10.1016\/j.future.2026.108672_b30","series-title":"AI4eosc\/ai4-architecture: 2.0.0","author":"Lopez Garcia","year":"2024"},{"key":"10.1016\/j.future.2026.108672_b31","series-title":"12th USENIX Symposium on Operating Systems Design and Implementation","first-page":"265","article-title":"TensorFlow: a system for large-scale machine learning","author":"Abadi","year":"2016"},{"key":"10.1016\/j.future.2026.108672_b32","series-title":"Pytorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019"},{"issue":"2","key":"10.1016\/j.future.2026.108672_b33","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10462-024-11036-2","article-title":"Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools","volume":"58","author":"Nguyen","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.future.2026.108672_b34","series-title":"Flower: A friendly federated learning research framework","author":"Beutel","year":"2020"},{"key":"10.1016\/j.future.2026.108672_b35","series-title":"NVIDIA FLARE: Federated learning from simulation to real-world","author":"Roth","year":"2022"},{"key":"10.1016\/j.future.2026.108672_b36","series-title":"Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security","first-page":"253","article-title":"Making federated learning accessible to scientists: The AI4EOSC approach","author":"S\u00e1inz-Pardo D\u00edaz","year":"2024"},{"key":"10.1016\/j.future.2026.108672_b37","article-title":"Metric-privacy-inspired noise calibration in federated learning: Improving convergence and preventing client inference attacks","volume":"343","author":"D\u00edaz","year":"2026","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.future.2026.108672_b38","series-title":"2025 3rd International Conference on Federated Learning Technologies and Applications","first-page":"9","article-title":"Enhancing the convergence of federated learning aggregation strategies with limited data","author":"D\u00edaz","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b39","series-title":"Alibi detect: Algorithms for outlier, adversarial and drift detection","author":"Van Looveren","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2024.101733","article-title":"Frouros: An open-source Python library for drift detection in machine learning systems","volume":"26","author":"C\u00e9spedes Sisniega","year":"2024","journal-title":"SoftwareX"},{"key":"10.1016\/j.future.2026.108672_b41","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.future.2024.07.010","article-title":"Efficient and scalable covariate drift detection in machine learning systems with serverless computing","volume":"161","author":"C\u00e9spedes Sisniega","year":"2024","journal-title":"Future Gener. Comput. Syst."},{"key":"10.1016\/j.future.2026.108672_b42","series-title":"2019 IEEE 12th International Conference on Cloud Computing","first-page":"414","article-title":"On-premises serverless computing for event-driven data processing applications","author":"P\u00e9rez","year":"2019","ISSN":"https:\/\/id.crossref.org\/issn\/2159-6190","issn-type":"print"},{"issue":"42","key":"10.1016\/j.future.2026.108672_b43","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.21105\/joss.01517","article-title":"DEEPaaS API: A REST API for machine learning and deep learning models","volume":"4","author":"L\u00f3pez Garc\u00eda","year":"2019","journal-title":"J. Open Source Softw."},{"key":"10.1016\/j.future.2026.108672_b44","series-title":"Proceedings of the 29th Symposium on Operating Systems Principles","first-page":"611","article-title":"Efficient memory management for large language model serving with PagedAttention","author":"Kwon","year":"2023"},{"key":"10.1016\/j.future.2026.108672_b45","first-page":"533","article-title":"A cloud-edge orchestration platform for the innovative industrial scenarios of the IoTwins project","volume":"vol. 12950","author":"Costantini","year":"2021"},{"issue":"3","key":"10.1016\/j.future.2026.108672_b46","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s10723-018-9453-3","article-title":"INDIGO-DataCloud: A platform to facilitate seamless access to E-infrastructures","volume":"16","author":"Salomoni","year":"2018","journal-title":"J. Grid Comput."},{"issue":"1","key":"10.1016\/j.future.2026.108672_b47","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s10723-014-9296-5","article-title":"Dynamic management of virtual infrastructures","volume":"13","author":"Caballer","year":"2015","journal-title":"J. Grid Comput."},{"issue":"3","key":"10.1016\/j.future.2026.108672_b48","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10723-023-09686-7","article-title":"Infrastructure manager: A TOSCA-based orchestrator for the computing continuum","volume":"21","author":"Caballer","year":"2023","journal-title":"J. Grid Comput."},{"key":"10.1016\/j.future.2026.108672_b49","series-title":"Computational Science and Its Applications \u2013 ICCSA 2025 Workshops","article-title":"Improving the cloud provider ranking in the INDIGO paas orchestration system using AI techniques","volume":"vol. 15886","author":"Giommi","year":"2025"},{"key":"10.1016\/j.future.2026.108672_b50","article-title":"Federation-registry: The renovated configuration management database for dynamic cloud federation","volume":"ISGC2024","author":"Savarese","year":"2024","journal-title":"PoS"},{"key":"10.1016\/j.future.2026.108672_b51","series-title":"TOSCA simple profile in YAML version 1.0","author":"Palma","year":"2015"},{"issue":"1","key":"10.1016\/j.future.2026.108672_b52","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s10723-017-9418-y","article-title":"Orchestrating complex application architectures in heterogeneous clouds","volume":"16","author":"Caballer","year":"2018","journal-title":"J. Grid Comput."},{"key":"10.1016\/j.future.2026.108672_b53","series-title":"FAIR4ml-schema","author":"Castro","year":"2024"},{"key":"10.1016\/j.future.2026.108672_b54","series-title":"Datahugger - One downloader for many scientific repositories","author":"Bruin","year":"2024"},{"key":"10.1016\/j.future.2026.108672_b55","series-title":"AARC blueprint architecture 2019 (AARC-G045)","author":"AARC Community members","year":"2019"},{"issue":"6","key":"10.1016\/j.future.2026.108672_b56","doi-asserted-by":"crossref","first-page":"5561","DOI":"10.1007\/s12145-024-01438-9","article-title":"Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas","volume":"17","author":"S\u00e1inz-Pardo D\u00edaz","year":"2024","journal-title":"Earth Sci. Inform."},{"key":"10.1016\/j.future.2026.108672_b57","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2025.103306","article-title":"Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study","volume":"91","author":"Azmi","year":"2025","journal-title":"Ecol. Informatics"},{"key":"10.1016\/j.future.2026.108672_b58","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2025.103328","article-title":"Blending physical and artificial intelligence models to improve satellite-derived bathymetry mapping","volume":"90","author":"Garc\u00eda-D\u00edaz","year":"2025","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.future.2026.108672_b59","doi-asserted-by":"crossref","first-page":"19710","DOI":"10.1109\/JSTARS.2025.3593779","article-title":"Transfer learning for distance classification of marine vessels using underwater sound","volume":"18","author":"Decrop","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens."},{"key":"10.1016\/j.future.2026.108672_b60","series-title":"Proceedings of the Eighth Workshop on Data Management for End-To-End Machine Learning","first-page":"1","article-title":"Croissant: A metadata format for ML-ready datasets","author":"Akhtar","year":"2024"},{"key":"10.1016\/j.future.2026.108672_b61","series-title":"Wattnet: matching electricity consumption with low-carbon, low-water footprint energy supply","author":"Castrillo","year":"2026"}],"container-title":["Future Generation Computer Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X26003067?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X26003067?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T20:31:51Z","timestamp":1785875511000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167739X26003067"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":61,"alternative-id":["S0167739X26003067"],"URL":"https:\/\/doi.org\/10.1016\/j.future.2026.108672","relation":{},"ISSN":["0167-739X"],"issn-type":[{"value":"0167-739X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"AI4EOSC: A federated cloud platform for Artificial Intelligence in scientific research","name":"articletitle","label":"Article Title"},{"value":"Future Generation Computer Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.future.2026.108672","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"108672"}}