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Distributed k-Means and k-Median Clustering on General Topologies

3 June 2013

Papers citing "Distributed k-Means and k-Median Clustering on General Topologies"

27 / 27 papers shown

Title
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy R. Saha Mohamed Seif M. Yemini Andrea J. Goldsmith H. Vincent Poor FedML 92 2 0 28 Feb 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 80 13 0 03 Jan 2023
Secure Federated Clustering Songze Li Sizai Hou Baturalp Buyukates A. Avestimehr FedML 72 14 0 31 May 2022
Joint Coreset Construction and Quantization for Distributed Machine Learning Hanlin Lu Changchang Liu Shiqiang Wang T. He Vijay Narayanan Kevin S. Chan Stephen Pasteris 36 2 0 13 Apr 2022
A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs Hongyu Zhu Stefan Klus Tuhin Sahai 63 6 0 26 Feb 2022
Fast Distributed k-Means with a Small Number of Rounds Tom Hess Ron Visbord Sivan Sabato 63 1 0 31 Jan 2022
An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering Kun Li Liang Yuan Yunquan Zhang Gongwei Chen 53 0 0 22 Apr 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 142 151 0 01 Mar 2021
Sharing Models or Coresets: A Study based on Membership Inference Attack Hanlin Lu Changchang Liu T. He Shiqiang Wang Kevin S. Chan MIACV FedML 58 16 0 06 Jul 2020
Coresets for Near-Convex Functions M. Tukan Alaa Maalouf Dan Feldman 90 43 0 09 Jun 2020
Approximation Algorithms for Distributed Multi-Robot Coverage in Non-Convex Environments Armin Sadeghi A. Asghar Stephen L. Smith 82 2 0 05 May 2020
Making AI Forget You: Data Deletion in Machine Learning Antonio A. Ginart M. Guan Gregory Valiant James Zou MU 96 481 0 11 Jul 2019
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization Shuai Wang Tsung-Hui Chang Ying Cui J. Pang 125 32 0 03 Jun 2019
Online Distributed Estimation of Principal Eigenspaces Davoud Ataee Tarzanagh Mohamad Kazem Shirani Faradonbeh George Michailidis 54 2 0 17 May 2019
Robust Coreset Construction for Distributed Machine Learning Hanlin Lu Ming-Ju Li T. He Shiqiang Wang Vijay Narayanan Kevin S. Chan OOD 83 25 0 11 Apr 2019
A Quantum Annealing-Based Approach to Extreme Clustering Tim Jaschek Marko Bucyk J. S. Oberoi 41 3 0 19 Mar 2019
Clustering with Distributed Data S. Kar Brian Swenson 82 8 0 01 Jan 2019
Determinantal Point Processes for Coresets Nicolas M Tremblay Simon Barthelmé P. Amblard 76 32 0 23 Mar 2018
One-Shot Coresets: The Case of k-Clustering Olivier Bachem Mario Lucic Silvio Lattanzi 64 40 0 27 Nov 2017
Practical Coreset Constructions for Machine Learning Olivier Bachem Mario Lucic Andreas Krause 79 186 0 19 Mar 2017
Robust Communication-Optimal Distributed Clustering Algorithms Pranjal Awasthi Ainesh Bakshi Maria-Florina Balcan Colin White David Woodruff 61 9 0 02 Mar 2017
Scalable k-Means Clustering via Lightweight Coresets Olivier Bachem Mario Lucic Andreas Krause 38 21 0 27 Feb 2017
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning Mario Lucic Mesrob I. Ohannessian Amin Karbasi Andreas Krause 45 16 0 02 May 2016
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures Mario Lucic Olivier Bachem Andreas Krause 53 80 0 21 Aug 2015
Communication Efficient Distributed Agnostic Boosting Shang-Tse Chen Maria-Florina Balcan Duen Horng Chau FedML 83 24 0 21 Jun 2015
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation Michael B. Cohen Sam Elder Cameron Musco Christopher Musco Madalina Persu 155 363 0 24 Oct 2014
Distributed Estimation, Information Loss and Exponential Families Qiang Liu Alexander Ihler FedML 78 59 0 09 Oct 2014