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Distributed Sketching Methods for Privacy Preserving Regression
v1v2 (latest)

Distributed Sketching Methods for Privacy Preserving Regression

16 February 2020
Burak Bartan
Mert Pilanci
ArXiv (abs)PDFHTML

Papers citing "Distributed Sketching Methods for Privacy Preserving Regression"

8 / 8 papers shown
The Normal Distributions Indistinguishability Spectrum and its
  Application to Privacy-Preserving Machine Learning
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
Yun Lu
Malik Magdon-Ismail
Yu Wei
Vassilis Zikas
471
0
0
03 Sep 2023
Orthonormal Sketches for Secure Coded Regression
Orthonormal Sketches for Secure Coded RegressionInternational Symposium on Information Theory (ISIT), 2022
Neophytos Charalambides
Hessam Mahdavifar
Mert Pilanci
Alfred Hero
275
10
0
21 Jan 2022
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
Dynamic Network-Assisted D2D-Aided Coded Distributed LearningIEEE Transactions on Communications (IEEE Trans. Commun.), 2021
Nikita Zeulin
O. Galinina
N. Himayat
Sergey D. Andreev
R. Heath
246
6
0
26 Nov 2021
Adaptive Newton Sketch: Linear-time Optimization with Quadratic
  Convergence and Effective Hessian Dimensionality
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian DimensionalityInternational Conference on Machine Learning (ICML), 2021
Jonathan Lacotte
Yifei Wang
Mert Pilanci
264
18
0
15 May 2021
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional
  Optimization: Sharp Analysis and Lower Bounds
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower BoundsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Jonathan Lacotte
Mert Pilanci
427
13
0
13 Dec 2020
Debiasing Distributed Second Order Optimization with Surrogate Sketching
  and Scaled Regularization
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
Michal Derezinski
Burak Bartan
Mert Pilanci
Michael W. Mahoney
192
27
0
02 Jul 2020
Lower Bounds and a Near-Optimal Shrinkage Estimator for Least Squares
  using Random Projections
Lower Bounds and a Near-Optimal Shrinkage Estimator for Least Squares using Random Projections
Srivatsan Sridhar
Mert Pilanci
Ayfer Özgür
235
5
0
15 Jun 2020
Effective Dimension Adaptive Sketching Methods for Faster Regularized
  Least-Squares Optimization
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares OptimizationNeural Information Processing Systems (NeurIPS), 2020
Jonathan Lacotte
Mert Pilanci
227
24
0
10 Jun 2020
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