Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching

Delivering an immersive experience to virtual reality (VR) users through wireless connectivity offers the freedom to engage from anywhere at any time. Nevertheless, it is challenging to ensure seamless wireless connectivity that delivers real-time and high-quality videos to the VR users. This paper...

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Vydané v:	IEEE transactions on communications Ročník 73; číslo 8; s. 6006 - 6022
Hlavní autori:	Tharakan, Krishnendu S., Dahrouj, Hayssam, Kouzayha, Nour, ElSawy, Hesham, Al-Naffouri, Tareq Y.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithms Caching Communication Customization Delays Distance learning distributed online learning Edge computing Federated learning federated learning (FL) Field of view (FoV) Mobile computing Multicast algorithms Real time Real-time systems Resource management Servers Stochastic processes Videos Virtual reality virtual reality (VR) Wireless communication
ISSN:	0090-6778, 1558-0857
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