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

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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]

This author has not been identified. Look up 'Gaoyang Liu' in GoogleThis author has not been identified. Look up 'Xiaoqiang Ma' in GoogleThis author has not been identified. It may be one of the following persons:

Yang Yang

Look up 'Yang Yang' in GoogleThis author has not been identified. Look up 'Chen Wang' in GoogleThis author has not been identified. Look up 'Jiangchuan Liu' in Google

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