Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1907.02513
Cited By
v1
v2 (latest)
Locally Private k-Means Clustering
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2019
4 July 2019
Uri Stemmer
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Locally Private k-Means Clustering"
23 / 23 papers shown
Breaking Privacy in Federated Clustering: Perfect Input Reconstruction via Temporal Correlations
Guang Yang
Lixia Luo
Qiongxiu Li
FedML
204
0
0
10 Nov 2025
Contrastive Explainable Clustering with Differential Privacy
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
Dung Nguyen
Ariel Vetzler
Sarit Kraus
A. Vullikanti
319
3
0
07 Jun 2024
FastLloyd: Federated, Accurate, Secure, and Tunable
k
k
k
-Means Clustering with Differential Privacy
Abdulrahman Diaa
Thomas Humphries
Florian Kerschbaum
FedML
519
2
0
03 May 2024
On the privacy of federated Clustering: A Cryptographic View
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Qiongxiu Li
Lixia Luo
FedML
244
5
0
13 Dec 2023
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm
Lukasz Wierzbinski
120
0
0
04 Dec 2023
Differentially Private Aggregation via Imperfect Shuffling
International Test Conference (ITC), 2023
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Jelani Nelson
Samson Zhou
FedML
345
1
0
28 Aug 2023
DPM: Clustering Sensitive Data through Separation
Conference on Computer and Communications Security (CCS), 2023
Yara Schutt
Johannes Liebenow
Tanya Braun
Marcel Gehrke
Florian Thaeter
Esfandiar Mohammadi
276
1
0
06 Jul 2023
Certified private data release for sparse Lipschitz functions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Konstantin Donhauser
J. Lokna
Amartya Sanyal
M. Boedihardjo
R. Honig
Fanny Yang
309
5
0
19 Feb 2023
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
Kaan Ozkara
Antonious M. Girgis
Deepesh Data
Suhas Diggavi
FedML
248
4
0
05 Jul 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
International Conference on Machine Learning (ICML), 2022
Ekdeep Singh Lubana
Chi Ian Tang
F. Kawsar
Robert P. Dick
Akhil Mathur
FedML
281
67
0
23 May 2022
Differentially-Private Clustering of Easy Instances
International Conference on Machine Learning (ICML), 2021
E. Cohen
Haim Kaplan
Yishay Mansour
Uri Stemmer
Eliad Tsfadia
312
27
0
29 Dec 2021
Differentially-Private Sublinear-Time Clustering
International Symposium on Information Theory (ISIT), 2021
Jeremiah Blocki
Elena Grigorescu
Tamalika Mukherjee
174
6
0
27 Dec 2021
Tight and Robust Private Mean Estimation with Few Users
International Conference on Machine Learning (ICML), 2021
Cheng-Han Chiang
Vahab Mirrokni
Hung-yi Lee
FedML
268
34
0
22 Oct 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
International Conference on Machine Learning (ICML), 2021
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
Amer Sinha
FedML
370
42
0
27 Sep 2021
Differentially Private Algorithms for Clustering with Stability Assumptions
M. Shechner
211
2
0
11 Jun 2021
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
International Conference on Machine Learning (ICML), 2020
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
FedML
258
57
0
08 Jun 2021
Locally Private
k
k
k
-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error
AAAI Conference on Artificial Intelligence (AAAI), 2021
Anamay Chaturvedi
Matthew D. Jones
Huy Le Nguyen
116
5
0
31 May 2021
Locally Private k-Means in One Round
International Conference on Machine Learning (ICML), 2021
Alisa Chang
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
322
41
0
20 Apr 2021
Utility-efficient Differentially Private K-means Clustering based on Cluster Merging
Neurocomputing (Neurocomputing), 2020
Tianjiao Ni
Minghao Qiao
Zhili Chen
Shun Zhang
Hong Zhong
FedML
171
37
0
03 Oct 2020
Differentially Private Clustering: Tight Approximation Ratios
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
219
61
0
18 Aug 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang
Lingjuan Lyu
Jun Zhao
Tianqing Zhu
Kwok-Yan Lam
313
194
0
09 Aug 2020
The power of synergy in differential privacy: Combining a small curator with local randomizers
International Test Conference (ITC), 2019
A. Beimel
Aleksandra Korolova
Kobbi Nissim
Or Sheffet
Uri Stemmer
254
16
0
18 Dec 2019
The Power of The Hybrid Model for Mean Estimation
Brendan Avent
Yatharth Dubey
Aleksandra Korolova
428
18
0
29 Nov 2018
1
Page 1 of 1
