2 papers
cs.CR2023
Differentially Private Numerical Vector Analyses in the Local and Shuffle Model
Shaowei Wang, Jin Li, Yuntong Li +2
Numerical vector aggregation plays a crucial role in privacy-sensitive applications, such as distributed gradient estimation in federated learning and statistical analysis of key-v…
cs.CR2022
Fine-grained Private Knowledge Distillation
Yuntong Li, Shaowei Wang, Yingying Wang +4
Knowledge distillation has emerged as a scalable and effective way for privacy-preserving machine learning. One remaining drawback is that it consumes privacy in a model-level (i.e…