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FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE

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Published in:Computer Science (AGH University)
Format: Online Article RSS Article
Published: 2025
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container_title Computer Science (AGH University)
description
discipline_display Computer Sciience
discipline_facet Computer Sciience
format Online Article
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genre Journal Article
id rss_article:77634
institution FRELIP
journal_source_facet Computer Science (AGH University)
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
Computer Sciience
General
Computer Sciience
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Sciience
General
Computer Sciience
Computer Sciience
General
Computer Sciience
subject_facet Computer Sciience
General
Computer Sciience
title FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
title_auth FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
title_full FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
title_fullStr FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
title_full_unstemmed FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
title_short FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
title_sort fl-mec: federated learning for network traffic classification on the network edge
topic Computer Sciience
General
Computer Sciience
url https://journals.agh.edu.pl/csci/article/view/7196