The following publications are possibly variants of this publication:
- Differentially Private Federated Learning With Importance Client SamplingLin Chen, Xiaofeng Ding 0001, Mengqi Li, Hai Jin 0001. tce, 70(1):3635-3649, February 2024. [doi]
- PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level FairnessChuang Hu, Nanxi Wu, Siping Shi, Xuan Liu, Bing Luo, Kanye Ye Wang, Jiawei Jiang 0001, Dazhao Cheng. tmc, 24(5):3993-4005, May 2025. [doi]
- ALI-DPFL: Differentially Private Federated Learning with Adaptive Local IterationsXinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen. wowmom 2024: 349-358 [doi]
- Differentially Private Federated Learning with Local Regularization and SparsificationAnda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng 0001. cvpr 2022: 10112-10121 [doi]
- Joint Client Selection and Privacy Compensation for Differentially Private Federated LearningRuichen Xu, Ying Jun Angela Zhang, Jianwei Huang 0001. infocom 2024: 1-6 [doi]