We present an architecture to implement a decentralised data market, whereby agents are incentivised to collaborate to crowd-source their data. The architecture is designed to reward data that furthers the market's collective goal, and distributes reward fairly to all those that contribute with their data. This is achieved leveraging the concept of Shapley's value from Game Theory. Furthermore, we introduce trust assumptions based on provable honesty, as opposed to wealth, or computational power, and we aim to reward agents that actively enable the functioning of the market. In order to evaluate the resilience of the architecture, we characterise its breakdown points for various adversarial threat models and we validate our analysis through extensive Monte Carlo simulations.

翻译：我们提出了一个实施分散化数据市场的架构,通过这一架构激励代理商合作提供其数据。该架构旨在奖励推动市场共同目标的数据,并将奖励公平地分配给所有贡献数据的人。这是利用Shapley的游戏理论价值概念实现的。此外,我们引入基于可证实的诚实而不是财富或计算能力的信任假设,我们的目标是奖励积极促进市场运作的代理商。为了评估这一架构的复原力,我们为各种对抗性威胁模型描述其故障点,并通过广泛的蒙特卡洛模拟来验证我们的分析。