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Making federated learning accessible to scientists: the AI4EOSC approach

dc.contributor.authorSáinz-Pardo Díaz, Judith es_ES
dc.contributor.authorHeredia Canales, Pedro Andréses_ES
dc.contributor.authorHeredia Cacha, Ignacio es_ES
dc.contributor.authorTran, Vietes_ES
dc.contributor.authorNguyen, Gianges_ES
dc.contributor.authorAlibabaei, Khadijehes_ES
dc.contributor.authorObregón Ruiz, Martaes_ES
dc.contributor.authorRebolledo Ruiz, Susanaes_ES
dc.contributor.authorLópez García, Álvaro es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-03-25T16:30:16Z
dc.date.available2025-03-25T16:30:16Z
dc.date.issued2024es_ES
dc.identifier.isbn979-8-4007-0637-0es_ES
dc.identifier.urihttps://hdl.handle.net/10902/36092
dc.description.sponsorshipThe authors would like to thank the funding through the project AI4EOSC “Artificial Intelligence for the European Open Science Cloud” that has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement number 101058593.es_ES
dc.format.extent12 p.es_ES
dc.language.isoenges_ES
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceIH&MMSec '24: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security, Nueva York, Association for Computing Machinery, Inc. (ACM), 2024es_ES
dc.titleMaking federated learning accessible to scientists: the AI4EOSC approaches_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttps://doi.org/10.1145/3658664.3659642es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1145/3658664.3659642es_ES
dc.type.versionpublishedVersiones_ES
dc.description.otherFederated learninges_ES
dc.description.otherPrivacy-preservinges_ES
dc.description.otherOpen sciencees_ES
dc.description.otherSoftware developmentes_ES
dc.description.otherArtificial intelligencees_ES


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