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A state-of-the-art survey on local training methods in federated learning
Title A state-of-the-art survey on local training methods in federated learning Author Staňo Michal SAVINFO - Ústav informatiky SAV Co-authors Hluchý Ladislav 1952- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Source document IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings. P. 89-92. - Budapest, Hungary : IEEE, 2023 / Szakál Anikó Language eng - English Country HU - Hungary Document kind rozpis článkov z periodík (rzb) Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Type of document príspevok z podujatia Year 2024 Registered in SCOPUS DOI 10.1109/CINTI59972.2023.10381965 
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rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2023
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