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ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS

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Published in:Computer Science
Format: Online Article RSS Article
Published: 2026
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journal_source_facet Computer Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS
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 ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS
title_auth ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS
title_full ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS
title_fullStr ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS
title_full_unstemmed ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS
title_short ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS
title_sort enhancing privacy and accuracy in federated learning for regression with server-side filtering to address outliers
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://journals.agh.edu.pl/csci/article/view/7029