Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI

Understand

The emerging industrial metaverses realize the mapping and expanding operations of physical industry into virtual space for significantly upgrading intelligent manufacturing.

• The industrial metaverses obtain data from various production and operation lines by Industrial Internet of Things (IIoT), and thus conduct effective data analysis and decision-making, thereby enhancing the production efficiency of the physical space, reducing operating costs, and maximizing commercial value.
• However, there still exist bottlenecks when integrating metaverses into IIoT, such as the privacy leakage of sensitive data with commercial secrets, IIoT sensing data freshness, and incentives for sharing these data.
• In this paper, we design a user-defined privacy-preserving framework with decentralized federated learning for the industrial metaverses.