local differential privacy

Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020 Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020 Local Differential Privacy for Sampling AISTATS 2020 Locally Private Hypothesis Selection COLT 2020 Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NeurIPS 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019 Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019 Locally Private Bayesian Inference for Count Models ICML 2019 Locally Private Gaussian Estimation NeurIPS 2019 Locally Private Learning without Interaction Requires Separation NeurIPS 2019 Locally Private Mean Estimation: Z-test and Tight Confidence Intervals AISTATS 2019 Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation IJCAI 2019 Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019 On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019 Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019 Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019 User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NeurIPS 2019 Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NeurIPS 2018 Local Differential Privacy for Evolving Data NeurIPS 2018 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Collecting Telemetry Data Privately NeurIPS 2017 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014