DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data by Yang Zhang, Shigong Long, Guangyuan Liu, Junming Zhang

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Federated learning with differential privacy via fast Fourier transform for tighter-efficient combining by Shengnan Guo, Jianfeng Yang, Shigong Long, Xibin Wang, Guangyuan Liu

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Federated learning privacy incentives: Reverse auctions and negotiations by Hongqin Lyu, Yongxiong Zhang, Chao Wang, Shigong Long, Shengnan Guo

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GDP vs. LDP: A Survey from the Perspective of Information-Theoretic Channel by Hai Liu, Changgen Peng, Youliang Tian, Shigong Long, Feng Tian, Zhenqiang Wu

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A federated learning scheme meets dynamic differential privacy by Shengnan Guo, Xibin Wang, Shigong Long, Hai Liu, Liu Hai, Toong Hai Sam

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