Lyu, L., Yu, J., Nandakumar, K., Li, Y., Ma, X., Jin, J., . . . Ng, K. S. (2020). Towards Fair and Privacy-Preserving Federated Deep Models. IEEE transactions on parallel and distributed systems, 31(11), 2524-2541. https://doi.org/10.1109/TPDS.2020.2996273
Chicago Style (17th ed.) CitationLyu, Lingjuan, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, and Kee Siong Ng. "Towards Fair and Privacy-Preserving Federated Deep Models." IEEE Transactions on Parallel and Distributed Systems 31, no. 11 (2020): 2524-2541. https://doi.org/10.1109/TPDS.2020.2996273.
MLA (9th ed.) CitationLyu, Lingjuan, et al. "Towards Fair and Privacy-Preserving Federated Deep Models." IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 11, 2020, pp. 2524-2541, https://doi.org/10.1109/TPDS.2020.2996273.