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cs.LG2022
Truthful Generalized Linear Models
Yuan Qiu, Jinyan Liu, Di Wang
In this paper we study estimating Generalized Linear Models (GLMs) in the case where the agents (individuals) are strategic or self-interested and they concern about their privacy…
cs.LG2021★ 5 cited
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
Lijie Hu, Shuo Ni, Hanshen Xiao +1
As one of the most fundamental problems in machine learning, statistics and differential privacy, Differentially Private Stochastic Convex Optimization (DP-SCO) has been extensivel…