Wei-Ning Chen

According to our database, Wei-Ning Chen authored at least 28 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

L_q Lower Bounds on Distributed Estimation via Fisher Information.

Wei-Ning Chen, Ayfer Özgür

CoRR, 2024

2023

Adaptive Group Testing on Networks With Community Structure: The Stochastic Block Model.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

IEEE Trans. Inf. Theory, July, 2023

Breaking the Communication-Privacy-Accuracy Trilemma.

Wei-Ning Chen, Peter Kairouz, Ayfer Özgür

IEEE Trans. Inf. Theory, February, 2023

Federated Experiment Design under Distributed Differential Privacy.

Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür

CoRR, 2023

Training generative models from privatized data.

Daria Reshetova, Wei-Ning Chen, Ayfer Özgür

CoRR, 2023

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

Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection.

Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation.

Wei-Ning Chen, Dan Song, Ayfer Özgür, Peter Kairouz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noisy Adaptive Group Testing for Community-Oriented Models.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2023

The communication cost of security and privacy in federated frequency estimation.

Wei-Ning Chen, Ayfer Özgür, Graham Cormode, Akash Bharadwaj

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

The Poisson binomial mechanism for secure and private federated learning.

Wei-Ning Chen, Ayfer Özgür, Peter Kairouz

CoRR, 2022

Estimating Sparse Distributions Under Joint Communication and Privacy Constraints.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2022

The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation.

Wei-Ning Chen, Ayfer Özgür, Peter Kairouz

Proceedings of the International Conference on Machine Learning, 2022

The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning.

Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh

Proceedings of the International Conference on Machine Learning, 2022

Optimal Compression of Locally Differentially Private Mechanisms.

Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Pointwise Bounds for Distribution Estimation under Communication Constraints.

Wei-Ning Chen, Peter Kairouz, Ayfer Özgür

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Federated Learning: An Information-Theoretic Perspective.

Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2021

Adaptive Group Testing on Networks with Community Structure.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2021

Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints.

Wei-Ning Chen, Peter Kairouz, Ayfer Özgür

Proceedings of the Conference on Learning Theory, 2021

2020

Fisher Information Under Local Differential Privacy.

Leighton Pate Barnes, Wei-Ning Chen, Ayfer Özgür

IEEE J. Sel. Areas Inf. Theory, 2020

2019

Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity.

Wei-Ning Chen, I-Hsiang Wang

IEEE Trans. Inf. Theory, 2019

On the Price of Source Anonymity in Heterogeneous Parametric Point Estimation.

Wei-Ning Chen, I-Hsiang Wang

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

On the Fundamental Limits of Heterogeneous Distributed Detection: Price of Anonymity.

Wei-Ning Chen, Ho-Chun Chen, I-Hsiang Wang

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Dynamic Path Pruning in Symbolic Execution.

Ying-Shen Chen, Wei-Ning Chen, Che-Yu Wu, Hsu-Chun Hsiao, Shih-Kun Huang

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2018

2017

Partial data extraction via noisy histogram queries: Information theoretic bounds.

Wei-Ning Chen, I-Hsiang Wang

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2015

Energy-Efficient Deterministic Adaptive Beamforming Algorithms for Distributed Sensor/Relay Networks.

Chun-Wei Li, Kuo-Ming Chen, Po-Chun Fu, Wei-Ning Chen, Che Lin

CoRR, 2015

2010

Duplicate Work Reduction in Business Continuity and Risk Management Processes.

Shi-Cho Cha, Pei-Wen Juo, Li-Ting Liu, Wei-Ning Chen

Proceedings of the Security Informatics, 2010

2008

RiskPatrol: A risk management system considering the integration risk management with business continuity processes.

Shi-Cho Cha, Pei-Wen Juo, Li-Ting Liu, Wei-Ning Chen

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008