Python Machine Learning - Personalized Federated Learning for Cellular VR - ClickMyProject скачать в хорошем качестве

Python Machine Learning - Personalized Federated Learning for Cellular VR - ClickMyProject

This paper presents a Field of View (FoV) aware caching strategy for Mobile Edge Computing (MEC)-enabled wireless Virtual Reality (VR) networks to ensure seamless real-time video delivery. The proposed approach caches and prefetches each VR user’s FoV at base stations (BSs) using decentralized and personalized federated learning (DP-FL) algorithms tailored to individual BSs. The DP-FL method personalizes content delivery while providing a probably approximately correct (PAC) guarantee on cache hit rates. To reduce communication overhead, a one-bit stochastic gradient descent quantization (OBSGD) is employed, achieving a convergence rate of O(1/√T). Additionally, VR users’ FoVs are grouped into multicast or unicast groups based on demand and wireless channel dynamics, optimizing network resource use. Evaluations on realistic VR head-tracking data demonstrate that the proposed DP-FL caching outperforms baseline methods in reducing average delay and improving cache hit rates, offering an efficient solution for wireless VR content delivery. Including Packages ======================= Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares Specialization ======================= 24/7 Support Ticketing System Voice Conference Video On Demand * Remote Connectivity * Code Customization ** Document Customization ** Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577 Shop Now @ http://clickmyproject.com Chat Now @ https://bit.ly/3rzVhHE Visit Our Channel: https://bit.ly/3eY0h3M Mail Us: info@clickmyproject.com