FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models - researchr publication

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Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu. FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models. In 29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021, Tokyo, Japan, June 25-28, 2021. pages 1-10, IEEE, 2021. [doi]

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