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Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations

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Published in:IEEE Transactions on Emerging Topics in Computing
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Transactions on Emerging Topics in Computing
description
discipline_display Computer Science
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format Online Article
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institution FRELIP
journal_source_facet IEEE Transactions on Emerging Topics in Computing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
title_auth Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
title_full Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
title_fullStr Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
title_full_unstemmed Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
title_short Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
title_sort robust model aggregation for heterogeneous federated learning: analysis and optimizations
topic Computer Science
General
Computer Science
url http://ieeexplore.ieee.org/document/11333956