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Advancements of Federated Learning Towards Privacy Preservation: From Federated Learning to Split Learning

机译：联邦学习对隐私保护的进步：从联合学习分裂学习

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Chandra Thapa; M. A. P. Chamikara; Seyit A. Camtepe;
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年度 2021
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1. Keep Your Data Locally: Federated-Learning-Based Data Privacy Preservation in Edge Computing [J] . Liu Gaoyang, Wang Chen, Ma Xiaoqiang, IEEE Network . 2021,第2期

机译：在本地保留您的数据：边缘计算中基于联合学习的数据隐私保存
2. Privacy preservation in federated learning: An insightful survey from the GDPR perspective [J] . Nguyen Truong, Kai Sun, Siyao Wang, Computers & Security . 2021,第Nova期

机译：联邦学习中的隐私保存：来自GDPR透视的洞察力调查
3. Highly efficient federated learning with strong privacy preservation in cloud computing [J] . Chen Fang, Yuanbo Guo, Na Wang, Computers & Security . 2020,第Sepa期

机译：高效的联合学习，云计算中的巨大隐私保存
4. Maintaining Privacy in Medical Imaging with Federated Learning, Deep Learning, Differential Privacy, and Encrypted Computation [C] . Unnati Shah, Ishita Dave, Jeel Malde, International Conference for Convergence in Technology . 2021

机译：维持与联合学习，深度学习，差异隐私和加密计算的医学成像中的隐私
5. Federated Learning Architecture to Enable Continuous Learning at the Tactical Edge for Situational Awareness [D] . Busart, Carl E., III. 2020

机译：联邦学习架构能够在情境意识的战术边缘实现持续学习
6. Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation [O] . Rulin Shao, Hongyu He, Ziwei Chen, 2020

机译：基于随机频道的联合学习具有医学数据隐私保留的神经网络修剪：模型开发和实验验证
7. Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation [O] . Rulin Shao, Hongyu He, Ziwei Chen, 2020

机译：基于随机频道的联合学习，具有医学数据隐私保留的神经网络修剪：模型开发和实验验证

Advancements of Federated Learning Towards Privacy Preservation: From Federated Learning to Split Learning

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