Model aggregation methods for distributed machine learning

Bibliographic Details
Main Author: Ângelo Gabriel Almeida Gomes
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/147405
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spelling Model aggregation methods for distributed machine learningCiências exactas e naturaisNatural sciences2022-11-032022-11-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/147405TID:203191501engÂngelo Gabriel Almeida Gomesinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T16:32:35Zoai:repositorio-aberto.up.pt:10216/147405Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:46:00.111057Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Model aggregation methods for distributed machine learning
title Model aggregation methods for distributed machine learning
spellingShingle Model aggregation methods for distributed machine learning
Ângelo Gabriel Almeida Gomes
Ciências exactas e naturais
Natural sciences
title_short Model aggregation methods for distributed machine learning
title_full Model aggregation methods for distributed machine learning
title_fullStr Model aggregation methods for distributed machine learning
title_full_unstemmed Model aggregation methods for distributed machine learning
title_sort Model aggregation methods for distributed machine learning
author Ângelo Gabriel Almeida Gomes
author_facet Ângelo Gabriel Almeida Gomes
author_role author
dc.contributor.author.fl_str_mv Ângelo Gabriel Almeida Gomes
dc.subject.por.fl_str_mv Ciências exactas e naturais
Natural sciences
topic Ciências exactas e naturais
Natural sciences
publishDate 2022
dc.date.none.fl_str_mv 2022-11-03
2022-11-03T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/147405
TID:203191501
url https://hdl.handle.net/10216/147405
identifier_str_mv TID:203191501
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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repository.mail.fl_str_mv info@rcaap.pt
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