Semantic utility-driven client selection for task-oriented split federated learning
Abstract Task-oriented split federated learning (TOSFL) is a collaborative intelligence framework that integrates split learning and semantic communication, which holds great promise for edge intelligence. However, its practical application is hampered by inherent information asymmetry, which severe...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2025-12-01
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| シリーズ: | Complex & Intelligent Systems |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s40747-025-02206-y |
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