In this project, we propose the Many-to-Many Data Trading Algorithm (MMDTA), and then formulate a data trading model with multiple entities based on MMDTA. Simulations validate convergence behavior and economic properties of MMDTA which is effective in different market scales and with dierent market power.
Check the following peer-reviewed papers for more detail:
- Mao, Jianqiao, et al. “Many-to-many data trading algorithm based on double auction theory.” Procedia Computer Science 174 (2020): 200-209.
- Duan, Jingyuan, et al. “Optimal social welfare: A many-to-many data transaction mechanism based on double auctions.” Digital Communications and Networks (2022).
J. Mao's Tech House 