Seuraa
Wei-Ning Chen
Wei-Ning Chen
Stanford University
Vahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Breaking the communication-privacy-accuracy trilemma
WN Chen, P Kairouz, A Ozgur
Advances in Neural Information Processing Systems 33, 3312-3324, 2020
1432020
The fundamental price of secure aggregation in differentially private federated learning
WN Chen, CAC Choo, P Kairouz, AT Suresh
International Conference on Machine Learning, 3056-3089, 2022
85*2022
Fisher information under local differential privacy
LP Barnes, WN Chen, A Özgür
IEEE Journal on Selected Areas in Information Theory 1 (3), 645-659, 2020
632020
The poisson binomial mechanism for unbiased federated learning with secure aggregation
WN Chen, A Ozgur, P Kairouz
International Conference on Machine Learning, 3490-3506, 2022
572022
Optimal compression of locally differentially private mechanisms
A Shah, WN Chen, J Balle, P Kairouz, L Theis
International Conference on Artificial Intelligence and Statistics, 7680-7723, 2022
442022
Adaptive group testing on networks with community structure
S Ahn, WN Chen, A Özgür
2021 IEEE International Symposium on Information Theory (ISIT), 1242-1247, 2021
392021
Differentially private federated learning: An information-theoretic perspective
S Asoodeh, WN Chen, FP Calmon, A Özgür
2021 IEEE international symposium on information theory (ISIT), 344-349, 2021
312021
Privacy amplification via compression: Achieving the optimal privacy-accuracy-communication trade-off in distributed mean estimation
WN Chen, D Song, A Ozgur, P Kairouz
Advances in Neural Information Processing Systems 36, 69202-69227, 2023
272023
Exact optimality of communication-privacy-utility tradeoffs in distributed mean estimation
B Isik, WN Chen, A Ozgur, T Weissman, A No
Advances in Neural Information Processing Systems 36, 37761-37785, 2023
182023
Breaking the dimension dependence in sparse distribution estimation under communication constraints
WN Chen, P Kairouz, A Ozgur
Conference on Learning Theory, 1028-1059, 2021
182021
Anonymous heterogeneous distributed detection: Optimal decision rules, error exponents, and the price of anonymity
WN Chen, IH Wang
IEEE Transactions on Information Theory 65 (11), 7390-7406, 2019
182019
Differentially private decoupled graph convolutions for multigranular topology protection
E Chien, WN Chen, C Pan, P Li, A Ozgur, O Milenkovic
Advances in Neural Information Processing Systems 36, 45381-45401, 2023
162023
Pointwise bounds for distribution estimation under communication constraints
WN Chen, P Kairouz, A Ozgur
Advances in Neural Information Processing Systems 34, 24593-24603, 2021
112021
The communication cost of security and privacy in federated frequency estimation
WN Chen, A Ozgur, G Cormode, A Bharadwaj
International Conference on Artificial Intelligence and Statistics, 4247-4274, 2023
82023
Adaptive group testing on networks with community structure: The stochastic block model
S Ahn, WN Chen, A Özgür
IEEE Transactions on Information Theory 69 (7), 4758-4776, 2023
72023
Universal exact compression of differentially private mechanisms
Y Liu, WN Chen, A Özgür, CT Li
arXiv preprint arXiv:2405.20782, 2024
62024
Noisy adaptive group testing for community-oriented models
S Ahn, WN Chen, A Özgür
2023 IEEE International Symposium on Information Theory (ISIT), 1621-1626, 2023
42023
Partial data extraction via noisy histogram queries: Information theoretic bounds
WN Chen, IH Wang
2017 IEEE International Symposium on Information Theory (ISIT), 2488-2492, 2017
42017
Training generative models from privatized data
D Reshetova, WN Chen, A Özgür
arXiv preprint arXiv:2306.09547, 2023
32023
Estimating sparse distributions under joint communication and privacy constraints
S Ahn, WN Chen, A Özgür
2022 IEEE International Symposium on Information Theory (ISIT), 3144-3149, 2022
32022
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Artikkelit 1–20