Scalable Differentially Private Clustering via Hierarchically Separated Trees

Author:

Cohen-Addad Vincent1,Epasto Alessandro2,Lattanzi Silvio1,Mirrokni Vahab2,Munoz Medina Andres2,Saulpic David3,Schwiegelshohn Chris4,Vassilvitskii Sergei2

Affiliation:

1. Google Research, Zurich, Switzerland

2. Google Research, New-York City, NY, USA

3. Sorbonne Université, Paris, France

4. Aarhus University, Aarhus, Denmark

Funder

Independent Research Fund Denmark (DFF)

French National Research Agency (ANR)

Publisher

ACM

Reference40 articles.

1. Better Guarantees for k-Means and Euclidean k-Median by Primal-Dual Algorithms

2. Parallel Graph Connectivity in Log Diameter Rounds

3. David Arthur and Sergei Vassilvitskii . 2007 . k-means++: The advantages of careful seeding . In Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics, 1027--1035 . David Arthur and Sergei Vassilvitskii. 2007. k-means++: The advantages of careful seeding. In Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics, 1027--1035.

4. Maria-Florina Balcan Travis Dick Yingyu Liang Wenlong Mou and Hongyang Zhang. 2017. Code of the algorithm described in Differentially Private Clustering in High-Dimensional Euclidean Spaces. https://github.com/mouwenlong/dpclustering-icml17 Maria-Florina Balcan Travis Dick Yingyu Liang Wenlong Mou and Hongyang Zhang. 2017. Code of the algorithm described in Differentially Private Clustering in High-Dimensional Euclidean Spaces. https://github.com/mouwenlong/dpclustering-icml17

5. Maria-Florina Balcan , Travis Dick , Yingyu Liang , Wenlong Mou , and Hongyang Zhang . 2017 . Differentially Private Clustering in High-Dimensional Euclidean Spaces . In Proceedings of the 34th International Conference on Machine Learning, ICML (Proceedings of Machine Learning Research , Vol. 70), Doina Precup and Yee Whye Teh (Eds.). PMLR, 322-- 331 . Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, and Hongyang Zhang. 2017. Differentially Private Clustering in High-Dimensional Euclidean Spaces. In Proceedings of the 34th International Conference on Machine Learning, ICML (Proceedings of Machine Learning Research, Vol. 70), Doina Precup and Yee Whye Teh (Eds.). PMLR, 322--331.

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