2 papers
cs.LG2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient
Lei Zhou, Youwen Zhu, Qiao Xue +2
Recently, the enactment of ``right to be forgotten" laws and regulations has imposed new privacy requirements on federated learning (FL). Researchers aim to remove the influence of…
cs.CR2022
Stateful Switch: Optimized Time Series Release with Local Differential Privacy
Qingqing Ye, Haibo Hu, Kai Huang +2
Time series data have numerous applications in big data analytics. However, they often cause privacy issues when collected from individuals. To address this problem, most existing…