Chen, Wei-Ning

19 publications

ICML 2025 Leveraging Randomness in Model and Data Partitioning for Privacy Amplification Andy Dong, Wei-Ning Chen, Ayfer Ozgur

AISTATS 2024 Federated Experiment Design Under Distributed Differential Privacy Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Ozgur

ICML 2024 Improved Communication-Privacy Trade-Offs in $l_2$ Mean Estimation Under Streaming Differential Privacy Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu

NeurIPS 2024 Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu, Wei-Ning Chen, Ayfer Özgür, Cheuk Ting Li

NeurIPS 2023 Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic

ICMLW 2023 Exact Optimality in Communication-Privacy-Utility Tradeoffs Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No

NeurIPS 2023 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No

ICMLW 2023 Federated Experiment Design Under Distributed Differential Privacy Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Ozgur

ICMLW 2023 Local Differential Privacy with Entropic Wasserstein Distance Daria Reshetova, Wei-Ning Chen, Ayfer Ozgur

NeurIPS 2023 Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-Off in Distributed Mean Estimation Wei-Ning Chen, Dan Song, Ayfer Ozgur, Peter Kairouz

ICMLW 2023 Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-Off in Distributed Mean Estimation Wei-Ning Chen, Dan Song, Ayfer Ozgur, Peter Kairouz

AISTATS 2023 The Communication Cost of Security and Privacy in Federated Frequency Estimation Wei-Ning Chen, Ayfer Ozgur, Graham Cormode, Akash Bharadwaj

AISTATS 2022 Optimal Compression of Locally Differentially Private Mechanisms Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis

ICML 2022 The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning Wei-Ning Chen, Christopher A Choquette Choo, Peter Kairouz, Ananda Theertha Suresh

ICML 2022 The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation Wei-Ning Chen, Ayfer Ozgur, Peter Kairouz

COLT 2021 Breaking the Dimension Dependence in Sparse Distribution Estimation Under Communication Constraints Wei-Ning Chen, Peter Kairouz, Ayfer Ozgur

NeurIPSW 2021 Communication Efficient Federated Learning with Secure Aggregation and Differential Privacy Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz

NeurIPS 2021 Pointwise Bounds for Distribution Estimation Under Communication Constraints Wei-Ning Chen, Peter Kairouz, Ayfer Ozgur

NeurIPS 2020 Breaking the Communication-Privacy-Accuracy Trilemma Wei-Ning Chen, Peter Kairouz, Ayfer Ozgur