Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.
Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu 0001, Kee Siong Ng. Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distrib. Syst., 31(11):2524-2541, 2020. [doi]
Possibly Related PublicationsThe following publications are possibly variants of this publication: Towards Efficient and Privacy-Preserving Federated Deep LearningMeng Hao, Hongwei Li, Guowen Xu, Sen Liu, Haomiao Yang. icc 2019: 1-6 [doi] The Impact of Differential Privacy on Model Fairness in Federated LearningXiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren 0002. NSS 2020: 419-430 [doi]
The following publications are possibly variants of this publication: