PrivAim: A Dual-Privacy Preserving and Quality-Aware Incentive Mechanism for Federated Learning

MLA

Dan Wang, et al. “PrivAim: A Dual-Privacy Preserving and Quality-Aware Incentive Mechanism for Federated Learning.” IEEE Transactions on Computers, Jan. 2022, pp. 1–14. EBSCOhost, https://doi.org/10.1109/tc.2022.3230904.

APA

Dan Wang, Ju Ren, Zhibo Wang, Yichuan Wang, & Yaoxue Zhang. (2022). PrivAim: A Dual-Privacy Preserving and Quality-Aware Incentive Mechanism for Federated Learning. IEEE Transactions on Computers, 1–14. https://doi.org/10.1109/tc.2022.3230904

Chicago

Dan Wang, Ju Ren, Zhibo Wang, Yichuan Wang, and Yaoxue Zhang. 2022. “PrivAim: A Dual-Privacy Preserving and Quality-Aware Incentive Mechanism for Federated Learning.” IEEE Transactions on Computers, January, 1–14. doi:10.1109/tc.2022.3230904.