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FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
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| Published in: | International Journal of Computer Network and Information Security |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867392268341608449 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Computer Network and Information Security |
| description | |
| discipline_display | Computer and Cyber Security |
| discipline_facet | Computer and Cyber Security |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:77506 |
| institution | FRELIP |
| journal_source_facet | International Journal of Computer Network and Information Security |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations Computer and Cyber Security General Computer and Cyber Security |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer and Cyber Security General Computer and Cyber Security Computer and Cyber Security General Computer and Cyber Security |
| subject_facet | Computer and Cyber Security General Computer and Cyber Security |
| title | FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations |
| title_auth | FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations |
| title_full | FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations |
| title_fullStr | FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations |
| title_full_unstemmed | FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations |
| title_short | FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations |
| title_sort | fedmad: a privacy-preserving adaptive federated learning framework with robustness against data quality variations |
| topic | Computer and Cyber Security General Computer and Cyber Security |
| url | https://www.mecs-press.org/ijcnis/ijcnis-v18-n3/v18n3-2.html |