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07/12/2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Graph learning methods, such as Graph Neural Networks (GNNs) based on gr...
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06/15/2023
Training generative models from privatized data
Local differential privacy (LDP) is a powerful method for privacy-preser...
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06/08/2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
We study the mean estimation problem under communication and local diffe...
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04/04/2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
Privacy and communication constraints are two major bottlenecks in feder...
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11/18/2022
The communication cost of security and privacy in federated frequency estimation
We consider the federated frequency estimation problem, where each user ...
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07/09/2022
The Poisson binomial mechanism for secure and private federated learning
We introduce the Poisson Binomial mechanism (PBM), a discrete differenti...
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03/07/2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
We consider the problem of training a d dimensional model with distribut...
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10/29/2021
Optimal Compression of Locally Differentially Private Mechanisms
Compressing the output of ϵ-locally differentially private (LDP) randomi...
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10/07/2021
Pointwise Bounds for Distribution Estimation under Communication Constraints
We consider the problem of estimating a d-dimensional discrete distribut...
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06/16/2021
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
We consider the problem of estimating a d-dimensional s-sparse discrete ...
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01/07/2021
Adaptive Group Testing on Networks with Community Structure
Since the inception of the group testing problem in World War II, the pr...
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07/22/2020
Breaking the Communication-Privacy-Accuracy Trilemma
Two major challenges in distributed learning and estimation are 1) prese...
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05/21/2020
Fisher information under local differential privacy
We develop data processing inequalities that describe how Fisher informa...
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05/09/2018
