The field of volumetric video and immersive media is moving towards more efficient and secure delivery methods. Researchers are exploring new architectures and techniques to reduce latency and improve privacy, such as content-aware encryption and decoupled representation learning. Additionally, there is a growing focus on developing practical and scalable solutions for real-time communication and playback. Noteworthy papers in this area include: Privis, which introduces a saliency-guided transport framework for secure volumetric video delivery. DeCo-VAE, which achieves compact latent representation for video reconstruction via decoupled representation learning. CPSL, which proposes a compact 2.5D video representation that brings the perceptual benefits of volumetric video to conventional 2D content. Privacy-Preserving IoT, which evaluates a framework for integrating Privacy-Enhancing Technologies into IoT systems in connected aircraft cabins.