conftrace_

local differential privacy

73 papers

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Also known as

LDP

Co-occurring keywords

differential privacy (1016) distribution estimation (71) federated learning (1333) sample complexity (1169) statistical estimation (108) privacy-preserving learning (117) mean estimation (70) privacy mechanism (13) regret bound (1926) local privacy (26)

Papers

Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021
Generalized Linear Bandits with Local Differential Privacy NIPS 2021
Privacy-Preserving News Recommendation Model Learning EMNLP 2020
Local Differential Privacy for Sampling AISTATS 2020
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020
Context Aware Local Differential Privacy ICML 2020
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NIPS 2020
Locally Private Learning without Interaction Requires Separation NIPS 2019
On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NIPS 2019
Locally Private Bayesian Inference for Count Models ICML 2019
Locally Private Gaussian Estimation NIPS 2019
Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NIPS 2018
Local Differential Privacy for Evolving Data NIPS 2018
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017
Collecting Telemetry Data Privately NIPS 2017
Extremal Mechanisms for Local Differential Privacy NIPS 2014