Welcome to the resource topic for 2025/613
Title:
Low-Latency Rate-Distortion-Perception Trade-off: A Randomized Distributed Function Computation Application
Authors: Onur Gunlu, Maciej Skorski, H. Vincent Poor
Abstract:Semantic communication systems, which focus on transmitting the semantics of data rather than its exact reconstruction, redefine the design of communication networks for transformative efficiency in bandwidth-limited and latency-critical applications. Addressing these goals, we tackle the rate-distortion-perception (RDP) problem for image compression, a critical challenge in achieving perceptually realistic reconstructions under rate constraints. Formulated within the randomized distributed function computation (RDFC) framework, we establish an achievable non-asymptotic RDP region, providing finite blocklength trade-offs between rate, distortion, and perceptual quality, aligning with semantic communication objectives. We extend this region to also include a secrecy constraint, providing strong secrecy guarantees against eavesdroppers via physical-layer security methods, ensuring resilience against quantum attacks. Our contributions include (i) establishing achievable bounds for non-asymptotic RDP regions under realism and distortion constraints; (ii) extending these bounds to provide strong secrecy guarantees; (iii) characterizing the asymptotic secure RDP region under a perfect realism constraint; and (iv) illustrating significant reductions in rates and the effects of secrecy constraints and finite blocklengths. Our results provide actionable insights for designing low-latency, high-fidelity, and secure image compression systems with realistic outputs, advancing applications, e.g., in privacy-critical domains.
ePrint: https://eprint.iacr.org/2025/613
See all topics related to this paper.
Feel free to post resources that are related to this paper below.
Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.
For more information, see the rules for Resource Topics .