Federated Multi-View Synthesizing for Metaverse
This addresses the problem of high resource demands for wireless VR content delivery in the metaverse, offering a novel solution that is incremental in combining existing techniques like federated learning with multi-view synthesis.
The paper tackles the challenge of data- and computation-intensive virtual reality transmission in the metaverse by proposing a federated multi-view synthesizing framework that uses single-view images and federated learning to reduce transmission needs and improve training efficiency, with simulation results demonstrating its effectiveness.
The metaverse is expected to provide immersive entertainment, education, and business applications. However, virtual reality (VR) transmission over wireless networks is data- and computation-intensive, making it critical to introduce novel solutions that meet stringent quality-of-service requirements. With recent advances in edge intelligence and deep learning, we have developed a novel multi-view synthesizing framework that can efficiently provide computation, storage, and communication resources for wireless content delivery in the metaverse. We propose a three-dimensional (3D)-aware generative model that uses collections of single-view images. These single-view images are transmitted to a group of users with overlapping fields of view, which avoids massive content transmission compared to transmitting tiles or whole 3D models. We then present a federated learning approach to guarantee an efficient learning process. The training performance can be improved by characterizing the vertical and horizontal data samples with a large latent feature space, while low-latency communication can be achieved with a reduced number of transmitted parameters during federated learning. We also propose a federated transfer learning framework to enable fast domain adaptation to different target domains. Simulation results have demonstrated the effectiveness of our proposed federated multi-view synthesizing framework for VR content delivery.