Wei-Ning Chen

Wei-Ning Chen

Stanford University

H-index: 9

North America-United States

About Wei-Ning Chen

Wei-Ning Chen, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Information Theory and Statistics, Differential Privacy, Federated Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Federated Experiment Design under Distributed Differential Privacy

Training Generative Models From Privatized Data via Entropic Optimal Transport

Differentially private decoupled graph convolutions for multigranular topology protection

Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

Privacy amplification via compression: Achieving the optimal privacy-accuracy-communication trade-off in distributed mean estimation

Lower Bounds on Distributed Estimation via Fisher Information

Noisy adaptive group testing for community-oriented models

Training generative models from privatized data

Wei-Ning Chen Information

University

Position

___

Citations(all)

371

Citations(since 2020)

363

Cited By

34

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Wei-Ning Chen Skills & Research Interests

Information Theory and Statistics

Differential Privacy

Federated Learning

Top articles of Wei-Ning Chen

Federated Experiment Design under Distributed Differential Privacy

2024/4/18

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Ayfer Ozgur
Ayfer Ozgur

H-Index: 18

Training Generative Models From Privatized Data via Entropic Optimal Transport

IEEE Journal on Selected Areas in Information Theory

2024/4/16

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Differentially private decoupled graph convolutions for multigranular topology protection

Advances in Neural Information Processing Systems

2024/2/13

Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

Advances in Neural Information Processing Systems

2024/2/13

Privacy amplification via compression: Achieving the optimal privacy-accuracy-communication trade-off in distributed mean estimation

Advances in Neural Information Processing Systems

2024/2/13

Lower Bounds on Distributed Estimation via Fisher Information

arXiv preprint arXiv:2402.01895

2024/2/2

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Noisy adaptive group testing for community-oriented models

2023/6/25

Surin Ahn
Surin Ahn

H-Index: 4

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Training generative models from privatized data

arXiv preprint arXiv:2306.09547

2023/6/15

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

The communication cost of security and privacy in federated frequency estimation

2023/4/11

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Ayfer Ozgur
Ayfer Ozgur

H-Index: 18

Adaptive group testing on networks with community structure: The stochastic block model

IEEE Transactions on Information Theory

2023/2/22

Surin Ahn
Surin Ahn

H-Index: 4

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

The poisson binomial mechanism for unbiased federated learning with secure aggregation

2022/6/28

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Ayfer Ozgur
Ayfer Ozgur

H-Index: 18

The fundamental price of secure aggregation in differentially private federated learning

2022/6/28

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Estimating Sparse Distributions Under Joint Communication and Privacy Constraints

2022/6/26

Surin Ahn
Surin Ahn

H-Index: 4

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Optimal compression of locally differentially private mechanisms

2022/5/3

Abhin Shah
Abhin Shah

H-Index: 1

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Pointwise bounds for distribution estimation under communication constraints

Advances in Neural Information Processing Systems

2021/12/6

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Ayfer Ozgur
Ayfer Ozgur

H-Index: 18

Breaking the dimension dependence in sparse distribution estimation under communication constraints

2021/7/21

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Ayfer Ozgur
Ayfer Ozgur

H-Index: 18

Differentially private federated learning: An information-theoretic perspective

2021/7/12

Shahab Asoodeh
Shahab Asoodeh

H-Index: 9

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Breaking the communication-privacy-accuracy trilemma

Advances in Neural Information Processing Systems

2020

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

Ayfer Ozgur
Ayfer Ozgur

H-Index: 18

Fisher information under local differential privacy

IEEE Journal on Selected Areas in Information Theory

2020/11/19

Wei-Ning Chen
Wei-Ning Chen

H-Index: 3

See List of Professors in Wei-Ning Chen University(Stanford University)

Co-Authors

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