Federated Reinforcement Learning Empowered Point Cloud Video Streaming

Research Project

Project/Area Number	24K14927
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 60060:Information network-related
Research Institution	The University of Electro-Communications
Principal Investigator	劉志電気通信大学, 大学院情報理工学研究科, 准教授 (90750240)
Project Period (FY)	2024-04-01 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000) Fiscal Year 2026: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000) Fiscal Year 2025: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000) Fiscal Year 2024: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords	Point cloud video / video streaming / federated learning
Outline of Research at the Start	Point cloud video can offer users immersive viewing experiences and is expected to be a typical beyond 5G/6G application. This project aims to study a federated reinforcement learning empowered point cloud video streaming to maximize the quality of point cloud video received by users in a decentralized way while protecting the user privacy.