{"id":29554,"date":"2026-01-27T10:12:15","date_gmt":"2026-01-27T09:12:15","guid":{"rendered":"https:\/\/networks.imdea.org\/?p=29554"},"modified":"2026-01-27T12:02:15","modified_gmt":"2026-01-27T11:02:15","slug":"mledge-federated-learning-across-cloud-and-edge-infrastructures-delivers-solutions-for-the-traditional-and-digital-economy","status":"publish","type":"post","link":"https:\/\/networks.imdea.org\/es\/el-proyecto-mledge-demuestra-que-el-aprendizaje-federado-puede-respaldar-servicios-de-inteligencia-artificial-en-el-mundo-real\/","title":{"rendered":"El proyecto MLEDGE demuestra que el aprendizaje federado puede respaldar servicios de inteligencia artificial en el mundo real"},"content":{"rendered":"<p>Tras dos a\u00f1os y medio de trabajo, el proyecto MLEDGE (Cloud and Edge Machine Learning), liderado por el profesor Nikolaos Laoutaris en IMDEA Networks, ha demostrado que es posible unir aprendizaje federado (federated learning, en ingl\u00e9s) con infraestructuras de computaci\u00f3n en la nube y en el borde (cloud-edge) para crear soluciones de inteligencia artificial m\u00e1s seguras, eficientes y cercanas a las personas usuarias. Los resultados del proyecto se traducen en aplicaciones reales tanto en la econom\u00eda tradicional como en la digital.<\/p>\n<h2>Aplicaciones que marcan la diferencia<\/h2>\n<p>El proyecto ha desarrollado y probado aplicaciones concretas que ilustran su impacto. En primer lugar, <strong>cabe se\u00f1alar la realizaci\u00f3n de <\/strong><a href=\"https:\/\/networks.imdea.org\/es\/los-datos-de-la-red-movil-un-metodo-eficiente-para-evaluar-la-propagacion-de-las-epidemias\/\" target=\"_blank\" rel=\"noopener\">mapas de riesgo de COVID<\/a><strong> en tiempo real<\/strong>, en colaboraci\u00f3n con Orange y Acuratio, que permiten a las autoridades tomar decisiones r\u00e1pidas y precisas en caso de futuras crisis sanitarias.<\/p>\n<p>Por otro lado, con Inmarepro y Acuratio, se ha llevado a cabo una <strong>optimizaci\u00f3n del consumo energ\u00e9tico en la industria<\/strong>, al conectar bombas de vapor de cuatro plantas industriales para mejorar la eficiencia energ\u00e9tica sin comprometer la privacidad de los datos y ayudando a proteger el medioambiente. Inamrepro est\u00e1 desarrollando una oferta comercial para sus clientes basada en los resultados y la tecnolog\u00eda transferida a trav\u00e9s de MLEDGE.<\/p>\n<h2>Innovaciones clave del proyecto<\/h2>\n<p>Entre los principales avances del proyecto destacan:<\/p>\n<ul>\n<li><strong>FedQV<\/strong>, un nuevo algoritmo inspirado en la idea del voto cuadr\u00e1tico, mejora la forma en que se combinan modelos de inteligencia artificial entrenados en distintos dispositivos.<\/li>\n<li><strong>PriPrune<\/strong>, un sistema que permite mejorar su rendimiento sin comprometer la privacidad de los datos de las personas usuarias.<\/li>\n<li>La <strong>integraci\u00f3n de estas innovaciones en una plataforma comercial de aprendizaje federado<\/strong>, desarrollada por la empresa espa\u00f1ola Acuratio, como ejemplo claro de transferencia tecnol\u00f3gica del laboratorio a la industria espa\u00f1ola.<\/li>\n<\/ul>\n<p>\u201cGracias a MLEDGE, hemos logrado llevar los \u00faltimos resultados de investigaci\u00f3n directamente a empresas y clientes, demostrando que es posible combinar eficiencia, seguridad y privacidad en tiempo real\u201d, destaca Nikolaos Laoutaris.<\/p>\n<h2>Impacto en la sociedad y la econom\u00eda de los datos<\/h2>\n<p>MLEDGE contribuye a una econom\u00eda de los datos m\u00e1s segura, donde informaci\u00f3n sensible de personas y empresas puede ser utilizada de manera confiable para entrenar modelos de inteligencia artificial, al tiempo que se optimiza el consumo de recursos energ\u00e9ticos.<\/p>\n<p>El proyecto deja un legado tangible en forma de sistemas que pueden ayudar a gestionar crisis sanitarias, herramientas que optimizan procesos industriales y metodolog\u00edas que aceleran la adopci\u00f3n de aprendizaje federado en Espa\u00f1a. Adem\u00e1s, \u201clas colaboraciones establecidas con empresas como Orange, Acuratio e Inmarepro contin\u00faan desarroll\u00e1ndose y explorando nuevas aplicaciones en ciudades inteligentes, salud digital y movilidad urbana\u201d, a\u00f1ade Laoutaris.<\/p>\n<p>MLEDGE ha sido financiado por el Ministerio para la Transformaci\u00f3n Digital y de la Funci\u00f3n P\u00fablica, a trav\u00e9s del Plan de Recuperaci\u00f3n, Transformaci\u00f3n y Resiliencia (PRTR) y con fondos de la Uni\u00f3n Europea \u2013 NextGenerationEU.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29491 size-large\" src=\"https:\/\/networks.imdea.org\/wp-content\/uploads\/2026\/01\/media-file-logo-unico-1024x259.png\" alt=\"\" width=\"900\" height=\"228\" \/><\/p>\n<div style=\"min-height: 30px;\"><a target=\"_blank\" rel=\"noindex,nofollow\" href=\"https:\/\/networks.imdea.org\/es\/el-proyecto-mledge-demuestra-que-el-aprendizaje-federado-puede-respaldar-servicios-de-inteligencia-artificial-en-el-mundo-real\/?format=pdf\" title=\"Download PDF\"><img decoding=\"async\" style=\"float: left;max-width: 50px;\" alt=\"Download PDF\" src=\"https:\/\/networks.imdea.org\/wp-content\/plugins\/wp-advanced-pdf\/asset\/images\/pdf.png\"><\/a><\/div>","protected":false},"excerpt":{"rendered":"Tras dos a\u00f1os y medio de trabajo, el proyecto MLEDGE (Cloud and Edge Machine Learning), liderado por el profesor Nikolaos Laoutaris en IMDEA Networks, ha demostrado que es posible unir aprendizaje federado (federated learning, en ingl\u00e9s) con infraestructuras de computaci\u00f3n en la nube y en el borde (cloud-edge) para crear soluciones de inteligencia artificial m\u00e1s&#8230;","protected":false},"author":145,"featured_media":29555,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1,1187],"tags":[492,497,464,473,465,494,471],"class_list":["post-29554","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categoria","category-press-release","tag-artificial-intelligence-ai","tag-cloud-computing","tag-imdea-networks","tag-innovation","tag-internet","tag-machine-learning","tag-privacy"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - 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