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CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification
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| Published in: | ArXiv cs.DC Recent Papers |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1864764977701715969 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | ArXiv cs.DC Recent Papers |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:50416 |
| institution | FRELIP |
| journal_source_facet | ArXiv cs.DC Recent Papers |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification ArXiv cs.DC Recent Papers Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | ArXiv cs.DC Recent Papers Computer Science & IT Engineering & Technology ArXiv cs.DC Recent Papers Computer Science & IT Engineering & Technology |
| subject_facet | ArXiv cs.DC Recent Papers Computer Science & IT Engineering & Technology |
| title | CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification |
| title_auth | CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification |
| title_full | CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification |
| title_fullStr | CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification |
| title_full_unstemmed | CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification |
| title_short | CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification |
| title_sort | clad: a clustered label-agnostic federated learning framework for joint anomaly detection and attack classification |
| topic | ArXiv cs.DC Recent Papers Computer Science & IT Engineering & Technology |
| url | https://arxiv.org/abs/2605.06571v1 |