Cover Image

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, T. Tony, Chakraborty, Abhinav, Vuursteen, Lasse
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory Machine Learning 62G10, 62C20, 68P27, 62F30
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
by: Cai, T. Tony, et al.
Published: (2024)

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints
by: Cai, Tony, et al.
Published: (2024)

The Cost of Adaptation under Differential Privacy: Optimal Adaptive Federated Density Estimation
by: Cai, T. Tony, et al.
Published: (2025)

Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
by: Vuursteen, Lasse
Published: (2024)

Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
by: Auddy, Arnab, et al.
Published: (2024)

Differentially private testing for relevant dependencies in high dimensions
by: Bastian, Patrick, et al.
Published: (2025)

Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
by: Vishwanath, Siddharth, et al.
Published: (2025)

Kernel-Based Nonparametric Tests For Shape Constraints
by: Sen, Rohan
Published: (2025)

An invariant modification of the bilinear form test
by: Garate, Angelo, et al.
Published: (2026)

Imbalanced Classification under Capacity Constraints
by: Fraiman, Daniel, et al.
Published: (2026)

Nonparametric Conditional Local Independence Testing
by: Christgau, Alexander Mangulad, et al.
Published: (2022)

Differentially Private Fisher Randomization Tests for Binary Outcomes
by: Sun, Qingyang, et al.
Published: (2025)

Differentially private scale testing via rank transformations and percentile modifications
by: Levine, Joshua, et al.
Published: (2025)

A Decision Analysis Framework for High-fidelity and Low-fidelity Systems with Applications in Manufacturing Processes
by: Zhang, Fan, et al.
Published: (2026)

On the Benefits of Accelerated Optimization in Robust and Private Estimation
by: Marchis, Laurentiu Andrei, et al.
Published: (2025)

Adaptive Thresholds for Monitoring and Screening in Imbalanced Samples: Optimality and Boosting Sensitivity
by: Steland, Ansgar
Published: (2025)

Bridging Human Cognition and AI: A Framework for Explainable Decision-Making Systems
by: Jean, N., et al.
Published: (2025)

Multiscale Autoregression on Adaptively Detected Timescales
by: Baranowski, Rafal, et al.
Published: (2024)

Importance sampling for Sobol' indices estimation
by: Boucharif, Haythem, et al.
Published: (2025)

Asymptotic Normality of Chatterjee's Rank Correlation
by: Kroll, Marius
Published: (2024)

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction
by: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)

Anchored Likelihood-Ratio Geometry of Anonymous Shuffle Experiments: Exact Privacy Envelopes and Universal Low-Budget Design
by: Shvets, Alex
Published: (2026)

Private Minimum Hellinger Distance Estimation via Hellinger Distance Differential Privacy
by: Deng, Fengnan, et al.
Published: (2025)

Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach
by: Bhar, Suprio, et al.
Published: (2023)

Statistical inference for rough volatility: Central limit theorems
by: Chong, Carsten, et al.
Published: (2022)

Nonparametric Vector Quantile Autoregression
by: González-Sanz, Alberto, et al.
Published: (2025)

Test for symmetry and confidence interval of the parameter μ of skew-symmetric-Laplace-uniform distribution
by: Lohot, Raju. K., et al.
Published: (2024)

Maximal Ancillarity, Semiparametric Efficiency, and the Elimination of Nuisances
by: Hallin, Marc, et al.
Published: (2026)

Goodness-of-Fit Testing for Point Processes in Large Populations
by: Can, Sami Umut, et al.
Published: (2026)

Adaptive Bayes estimator for stochastic differential equations with jumps under small noise asymptotics
by: Suzuki, Shuntaro, et al.
Published: (2024)

Differentially Private Truncation of Unbounded Data via Public Second Moments
by: Cao, Zilong, et al.
Published: (2026)

Ill-Conditioned Orthogonal Scores in Double Machine Learning
by: Saco, Gabriel
Published: (2025)

Why Empirical p-Values Are Not Uniform: Reference Samples, Dependence, and PIT Backtesting
by: Lis, Jakub
Published: (2026)

Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
by: Lin, Shurong, et al.
Published: (2023)

IAPO estimators in Exponentiated Frechet case
by: Jordanova, Pavlina, et al.
Published: (2025)

Functional $K$ Sample Problem via Multivariate Optimal Measure Transport-Based Permutation Test
by: Hudecová, Šárka, et al.
Published: (2025)

Computing conservative probabilities of rare events with surrogates
by: Bousquet, Nicolas
Published: (2024)

Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models
by: Li, Jiaqi, et al.
Published: (2024)

Moderate deviation principle for the chi-square statistics
by: Yu, Zhenhong, et al.
Published: (2025)

Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
by: Belzile, Léo R., et al.
Published: (2025)