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Differentially Private Stochastic Coordinate Descent
v1v2v3v4 (latest)

Differentially Private Stochastic Coordinate Descent

AAAI Conference on Artificial Intelligence (AAAI), 2020
12 June 2020
Georgios Damaskinos
Celestine Mendler-Dünner
R. Guerraoui
N. Papandreou
Thomas Parnell
ArXiv (abs)PDFHTML

Papers citing "Differentially Private Stochastic Coordinate Descent"

9 / 9 papers shown
Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training
Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training
Zeyu Liu
Yunquan Zhang
Yunquan Zhang
Boyang Zhang
Guoyong Jiang
Xin Zhang
L. Xiao
Weifeng Zhang
Daning Cheng
280
0
0
23 May 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
Liang Wu
Ruixi Hu
Yunwen Lei
275
0
0
03 Mar 2025
High-Dimensional Private Empirical Risk Minimization by Greedy
  Coordinate Descent
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate DescentInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Paul Mangold
A. Bellet
Joseph Salmon
Marc Tommasi
433
6
0
04 Jul 2022
Improving Differentially Private SGD via Randomly Sparsified Gradients
Improving Differentially Private SGD via Randomly Sparsified Gradients
Junyi Zhu
Matthew B. Blaschko
411
7
0
01 Dec 2021
Differentially Private Coordinate Descent for Composite Empirical Risk
  Minimization
Differentially Private Coordinate Descent for Composite Empirical Risk MinimizationInternational Conference on Machine Learning (ICML), 2021
Paul Mangold
A. Bellet
Joseph Salmon
Marc Tommasi
507
16
0
22 Oct 2021
Combining Differential Privacy and Byzantine Resilience in Distributed
  SGD
Combining Differential Privacy and Byzantine Resilience in Distributed SGD
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
FedML
289
5
0
08 Oct 2021
Stability and Generalization for Randomized Coordinate Descent
Stability and Generalization for Randomized Coordinate Descent
Puyu Wang
Liang Wu
Yunwen Lei
248
7
0
17 Aug 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine
  Learning
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
Shuo Liu
AI4CEOOD
228
14
0
16 Jun 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), 2021
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
270
37
0
16 Feb 2021
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