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Differentially Private Clustering in Data Streams
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Differentially Private Clustering in Data Streams

Alessandro Epasto
Tamalika Mukherjee
Peilin Zhong
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Papers citing "Differentially Private Clustering in Data Streams"

8 / 8 papers shown
Title
Differential Privacy for Clustering Under Continual Observation
Differential Privacy for Clustering Under Continual Observation
Max Dupré la Tour
Monika Henzinger
David Saulpic
50
1
0
07 Jul 2023
Scalable Differentially Private Clustering via Hierarchically Separated Trees
Scalable Differentially Private Clustering via Hierarchically Separated Trees
Vincent Cohen-Addad
Alessandro Epasto
Silvio Lattanzi
Vahab Mirrokni
Andrés Muñoz
David Saulpic
Chris Schwiegelshohn
Sergei Vassilvitskii
FedML
49
15
0
17 Jun 2022
Towards Optimal Lower Bounds for k-median and k-means Coresets
Towards Optimal Lower Bounds for k-median and k-means Coresets
Vincent Cohen-Addad
Kasper Green Larsen
David Saulpic
Chris Schwiegelshohn
45
51
0
25 Feb 2022
Differentially-Private Clustering of Easy Instances
Differentially-Private Clustering of Easy Instances
E. Cohen
Haim Kaplan
Yishay Mansour
Uri Stemmer
Eliad Tsfadia
66
24
0
29 Dec 2021
Differentially-Private Sublinear-Time Clustering
Differentially-Private Sublinear-Time Clustering
Jeremiah Blocki
Elena Grigorescu
Tamalika Mukherjee
43
6
0
27 Dec 2021
Locally Private k-Means in One Round
Locally Private k-Means in One Round
Alisa Chang
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
73
31
0
20 Apr 2021
Differentially Private Clustering: Tight Approximation Ratios
Differentially Private Clustering: Tight Approximation Ratios
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
60
53
0
18 Aug 2020
A Unified Framework for Approximating and Clustering Data
A Unified Framework for Approximating and Clustering Data
Dan Feldman
M. Langberg
161
458
0
07 Jun 2011