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The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond

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Bibliographic Details
Published in:Journal of Machine Learning Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Machine Learning Research
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
id rss_article:5020
institution FRELIP
journal_source_facet Journal of Machine Learning Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
title_auth The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
title_full The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
title_fullStr The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
title_full_unstemmed The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
title_short The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
title_sort the blessing of heterogeneity in federated q-learning: linear speedup and beyond
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v26/24-0579.html