most citedPrivacy-Preserving Federated Learning on Partitioned Attributes

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cs.LG2021★ 3 cited

Privacy-Preserving Federated Learning on Partitioned Attributes

Shuang Zhang, Liyao Xiang, Xi Yu +4

Real-world data is usually segmented by attributes and distributed across different parties. Federated learning empowers collaborative training without exposing local data or model…

cs.LG2019

Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud

Shuang Zhang, Liyao Xiang, Congcong Li +4

Powered by machine learning services in the cloud, numerous learning-driven mobile applications are gaining popularity in the market. As deep learning tasks are mostly computation-…