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Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation

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Bibliographic Details
Published in:Applied Computational Intelligence and Soft Computing
Format: Online Article RSS Article
Published: 2026
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container_title Applied Computational Intelligence and Soft Computing
description
discipline_display Mathematics
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journal_source_facet Applied Computational Intelligence and Soft Computing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
Mathematics
General
Mathematics
sub_discipline_display General
sub_discipline_facet General
subject_display Mathematics
General
Mathematics
Mathematics
General
Mathematics
subject_facet Mathematics
General
Mathematics
title Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
title_auth Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
title_full Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
title_fullStr Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
title_full_unstemmed Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
title_short Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
title_sort privacy-preserving federated learning: adaptive quantization and layer-specific differential privacy with client dropout mitigation
topic Mathematics
General
Mathematics
url https://www.hindawi.com/journals/acisc/2026/1125376/