Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Guillermo Navarro-Arribas"'
In this paper, we present an unified framework that encompasses both particle swarm optimization (PSO) and federated learning (FL). This unified framework shows that we can understand both PSO and FL in terms of a function to be optimized by a set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47b59bb33c1577674a34787cc8cb5e91
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-200098
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-200098
Machine and statistical learning is about constructing models from data. Data is usually understood as a set of records, a database. Nevertheless, databases are not static but change over time. We can understand this as follows: there is a space of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dda9eed10d885243c75840ffc0da949b
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-183009
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-183009