10 citations · 13 across the 2 of their papers we have counts for
4 papers
Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang, Yuting Liang, Ke Yi
Mean estimation under differential privacy is a fundamental problem, but worst-case optimal mechanisms do not offer meaningful utility guarantees in practice when the global sensit…
Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming
Ziyue Huang, Yuan Qiu, Ke Yi +1
We study the fundamental problem of frequency estimation under both privacy and communication constraints, where the data is distributed among parties. We consider two applicat…
Communication-Efficient Weighted Sampling and Quantile Summary for GBDT
Ziyue Huang, Ke Yi
Gradient boosting decision tree (GBDT) is a powerful and widely-used machine learning model, which has achieved state-of-the-art performance in many academic areas and production e…
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Shuai Zheng, Ziyue Huang, James T. Kwok
Communication overhead is a major bottleneck hampering the scalability of distributed machine learning systems. Recently, there has been a surge of interest in using gradient compr…