Truthful Deep Mechanism Design for Revenue-Maximization in Edge Computing with Budget Constraints
Published in IEEE Transactions on Vehicular Technology, 2021
A new approach of collaborative task offloading in edge computing, called truthful deep mechanism, is proposed by leveraging a multi-task machine learning model, where inherently inter-connected collaborator selection and pricing policy determination are decided by designing two deep neural networks.
Recommended citation: G. Li, J. Cai and S. Ni, "Truthful Deep Mechanism Design for Revenue-Maximization in Edge Computing With Budget Constraints," in IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 902-914, Jan. 2022, doi: 10.1109/TVT.2021.3129098.