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Wei-Ning Chen
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Breaking the communication-privacy-accuracy trilemma
WN Chen, P Kairouz, A Ozgur
Advances in Neural Information Processing Systems 33, 3312-3324, 2020
1192020
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
64*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
522020
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
392022
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
362021
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
302022
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
282021
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
Breaking the dimension dependence in sparse distribution estimation under communication constraints
WN Chen, P Kairouz, A Ozgur
Conference on Learning Theory, 1028-1059, 2021
142021
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, 2024
112024
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, 2024
72024
Pointwise bounds for distribution estimation under communication constraints
WN Chen, P Kairouz, A Ozgur
Advances in Neural Information Processing Systems 34, 24593-24603, 2021
62021
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, 2024
52024
Adaptive group testing on networks with community structure: The stochastic block model
S Ahn, WN Chen, A Özgür
IEEE Transactions on Information Theory, 2023
42023
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
32023
On the fundamental limits of heterogeneous distributed detection: Price of anonymity
WN Chen, HC Chen, IH Wang
2018 IEEE International Symposium on Information Theory (ISIT), 1056-1060, 2018
32018
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
32017
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
22023
Training generative models from privatized data
D Reshetova, WN Chen, A Özgür
arXiv preprint arXiv:2306.09547, 2023
12023
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
12022
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Articles 1–20