Differential Privacy

Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
In recent years, privacy-preserving machine learning algorithms have attracted increasing attention because of their important …
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
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Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach
With rise of machine learning (ML) and the proliferation of smart mobile devices, recent years have witnessed a surge of interest in …
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
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