The following publications are possibly variants of this publication:
- Incentivizing Differentially Private Federated Learning: A Multidimensional Contract ApproachMaoqiang Wu, Dongdong Ye, Jiahao Ding, Yuanxiong Guo, Rong Yu, Miao Pan. iotj, 8(13):10639-10651, 2021. [doi]
- Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory ApproachJiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu 0001, Ying-Chang Liang, Dong In Kim. apwcs2 2019: 1-5 [doi]
- Contract-Theory-Based Incentive Mechanism for Federated Learning in Health CrowdSensingLi Li, Xi Yu, Xuliang Cai, Xin He, Yanhong Liu. iotj, 10(5):4475-4489, March 1 2023. [doi]
- Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning ApproachChenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, James J. Q. Yu. iotj, 9(14):11868-11882, 2022. [doi]