Task offloading and computing in vehicular edge networks: A joint of dynamic game and federated learning
Federated Learning (FL) is well-suited for the Internet of Vehicles (IoV) due to its privacy-preserving and distributed nature. However, its application in Vehicular Edge Computing (VEC) faces key challenges: frequent task timeouts caused by high vehicle mobility, performance degradation from hetero...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Elsevier
2025-12-01
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| Serija: | Alexandria Engineering Journal |
| Teme: | |
| Online dostop: | http://www.sciencedirect.com/science/article/pii/S1110016825011214 |
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