{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T09:03:04Z","timestamp":1770282184912,"version":"3.49.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>This paper presents Fedstellar, a platform for training decentralized Federated Learning (FL) models in heterogeneous topologies in terms of the number of federation participants and their connections. Fedstellar allows users to build custom topologies, enabling them to control the aggregation of model parameters in a decentralized manner. The platform offers a Web application for creating, managing, and connecting nodes to ensure data privacy and provides tools to measure, monitor, and analyze the performance of the nodes. The paper describes the functionalities of Fedstellar and its potential applications. To demonstrate the applicability of the platform, different use cases are presented in which decentralized, semi-decentralized, and centralized architectures are compared in terms of model performance, convergence time, and network overhead when collaboratively classifying hand-written digits using the MNIST dataset.<\/jats:p>","DOI":"10.24963\/ijcai.2023\/838","type":"proceedings-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T04:31:30Z","timestamp":1691728290000},"page":"7154-7157","source":"Crossref","is-referenced-by-count":3,"title":["Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion"],"prefix":"10.24963","author":[{"given":"Enrique Tom\u00e1s","family":"Mart\u00ednez Beltr\u00e1n","sequence":"first","affiliation":[{"name":"University of Murcia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro Miguel","family":"S\u00e1nchez S\u00e1nchez","sequence":"additional","affiliation":[{"name":"University of Murcia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergio","family":"L\u00f3pez Bernal","sequence":"additional","affiliation":[{"name":"University of Murcia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00e9r\u00f4me","family":"Bovet","sequence":"additional","affiliation":[{"name":"Cyber-Defence Campus, Armasuisse Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Gil P\u00e9rez","sequence":"additional","affiliation":[{"name":"University of Murcia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregorio","family":"Mart\u00ednez P\u00e9rez","sequence":"additional","affiliation":[{"name":"University of Murcia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto","family":"Huertas Celdr\u00e1n","sequence":"additional","affiliation":[{"name":"University of Zurich"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}","theme":"Artificial Intelligence","location":"Macau, SAR China","acronym":"IJCAI-2023","number":"32","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2023,8,19]]},"end":{"date-parts":[[2023,8,25]]}},"container-title":["Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T04:56:56Z","timestamp":1691729816000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2023\/838"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2023\/838","relation":{},"subject":[],"published":{"date-parts":[[2023,8]]}}}