FedVR360: Federated learning enabled privacy-preservation for VR 360° video streaming in vehicular edge computing
Abstract The integration of Virtual Reality (VR) 360° video streaming into Vehicular Edge Computing (VEC) enables immersive in-vehicle experiences but introduces significant challenges in privacy preservation and real-time performance. Existing predictive caching solutions rely on centralized learni...
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| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2026-05-01
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| Seri Bilgileri: | Journal of King Saud University: Computer and Information Sciences |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s44443-026-00815-2 |
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