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07/25/2023
Federated Heavy Hitter Recovery under Linear Sketching
Motivated by real-life deployments of multi-round federated analytics wi...
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07/19/2023
The importance of feature preprocessing for differentially private linear optimization
Training machine learning models with differential privacy (DP) has rece...
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03/01/2023
Subset-Based Instance Optimality in Private Estimation
We propose a new definition of instance optimality for differentially pr...
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02/14/2023
Concentration Bounds for Discrete Distribution Estimation in KL Divergence
We study the problem of discrete distribution estimation in KL divergenc...
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11/07/2022
Discrete Distribution Estimation under User-level Local Differential Privacy
We study discrete distribution estimation under user-level local differe...
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03/14/2022
The Role of Interactivity in Structured Estimation
We study high-dimensional sparse estimation under three natural constrai...
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03/09/2022
Correlated quantization for distributed mean estimation and optimization
We study the problem of distributed mean estimation and optimization und...
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04/21/2021
Robust Testing and Estimation under Manipulation Attacks
We study robust testing and estimation of discrete distributions in the ...
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02/23/2021
Learning with User-Level Privacy
We propose and analyze algorithms to solve a range of learning tasks und...
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01/20/2021
Inference under Information Constraints III: Local Privacy Constraints
We study goodness-of-fit and independence testing of discrete distributi...
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10/30/2020
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints
We consider the task of estimating sparse discrete distributions under l...
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07/21/2020
Interactive Inference under Information Constraints
We consider distributed inference using sequentially interactive protoco...
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04/14/2020
Differentially Private Assouad, Fano, and Le Cam
Le Cam's method, Fano's inequality, and Assouad's lemma are three widely...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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11/18/2019
Estimating Entropy of Distributions in Constant Space
We consider the task of estimating the entropy of k-ary distributions fr...
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11/18/2019
Can You Really Backdoor Federated Learning?
The decentralized nature of federated learning makes detecting and defen...
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10/31/2019
Context-Aware Local Differential Privacy
Local differential privacy (LDP) is a strong notion of privacy for indiv...
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07/20/2019
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
We study goodness-of-fit of discrete distributions in the distributed se...
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05/28/2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
We consider the problems of distribution estimation and heavy hitter (fr...
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02/28/2018
INSPECTRE: Privately Estimating the Unseen
We develop differentially private methods for estimating various distrib...
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02/13/2018