Quantum Federated Learning for Metaverse: Analysis, Design, and Implementation

IF 4.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Network and Service Management Pub Date : 2025-03-17 DOI:10.1109/TNSM.2025.3552307

Dev Gurung;Shiva Raj Pokhrel;Gang Li

引用次数: 0

Abstract

We present a novel decentralized and trustworthy Quantum Federated Learning (QFL) framework tailored for the emerging Metaverse. This virtual environment, enabling social interaction, gaming, and commerce, demands secure and transparent systems. By integrating blockchain, our QFL framework ensures integrity, resilience, and transparency. Comparative analysis with classical Federated Learning (CFL) highlights its practicality and advantages in distributed settings. New insights discovered emphasize the importance of decentralized systems for the Metaverse’s evolution, with a blockchain-based QFL application demonstrated in a hybrid model. Our evaluation, implementation details and code are publicly available.

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面向元宇宙的量子联合学习：分析、设计和实现

我们提出了一个新的去中心化和可信赖的量子联邦学习（QFL）框架，为新兴的元宇宙量身定制。这种虚拟环境支持社会互动、游戏和商业，需要安全透明的系统。通过集成区块链，我们的QFL框架确保了完整性、弹性和透明度。与经典联邦学习（CFL）的对比分析突出了其在分布式环境下的实用性和优越性。新发现强调了去中心化系统对元宇宙进化的重要性，并在混合模型中展示了基于区块链的QFL应用程序。我们的评估、实现细节和代码都是公开的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications

CiteScore

9.30

自引率

15.10%

发文量

325

期刊介绍： IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.