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Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation
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| Published in: | Applied Computational Intelligence and Soft Computing |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868552842516627456 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Applied Computational Intelligence and Soft Computing |
| description | |
| discipline_display | Mathematics |
| discipline_facet | Mathematics |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:62714 |
| institution | FRELIP |
| journal_source_facet | Applied Computational Intelligence and Soft Computing |
| last_indexed | 2026-06-20T21:27:34.457Z |
| 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 |
| subject_facet | Mathematics General Mathematics |
| title | Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation |
| title_alt | Aprendizaje federado con preservación de la privacidad: cuantización adaptativa y privacidad diferencial por capas con mitigación de abandono de clientes Apprentissage fédéré préservant la vie privée : quantification adaptative et confidentialité différentielle par couche avec atténuation de l'abandon client Aprendizado Federado com Preservação de Privacidade: Quantização Adaptativa e Privacidade Diferencial por Camada com Mitigação de Abandono de Cliente |
| title_auth | Privacy-Preserving Federated Learning: Adaptive Quantization and Layer-Specific Differential Privacy With Client Dropout Mitigation |
| title_es_txt | Aprendizaje federado con preservación de la privacidad: cuantización adaptativa y privacidad diferencial por capas con mitigación de abandono de clientes |
| title_fr_txt | Apprentissage fédéré préservant la vie privée : quantification adaptative et confidentialité différentielle par couche avec atténuation de l'abandon client |
| 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_pt_txt | Aprendizado Federado com Preservação de Privacidade: Quantização Adaptativa e Privacidade Diferencial por Camada com Mitigação de Abandono de Cliente |
| 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/ |