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Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach
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| Published in: | IEEE Access |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1864030190775042054 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IEEE Access |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:8713 |
| institution | FRELIP |
| journal_source_facet | IEEE Access |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach Computer Science & Information Science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Computer Science & Information Science Computer Science & IT Engineering & Technology Computer Science & Information Science Computer Science & IT Engineering & Technology |
| subject_facet | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| title | Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach |
| title_auth | Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach |
| title_full | Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach |
| title_fullStr | Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach |
| title_full_unstemmed | Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach |
| title_short | Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach |
| title_sort | federated learning for beam management in 5g and beyond: a collaborative ai/ml approach |
| topic | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| url | http://ieeexplore.ieee.org/document/11381446 |