Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning

IEEE Transactions on Information Forensics and Security ◽

10.1109/tifs.2016.2607691 ◽

2017 ◽

Vol 12 (1) ◽

pp. 172-187 ◽

Author(s):

Tao Zhang ◽

Quanyan Zhu

Keyword(s):

Differential Privacy ◽

Classification Learning ◽

Distributed Classification

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Differential privacy for sparse classification learning

Neurocomputing ◽

10.1016/j.neucom.2019.09.020 ◽

2020 ◽

Vol 375 ◽

pp. 91-101 ◽

Author(s):

Puyu Wang ◽

Hai Zhang

Keyword(s):

Differential Privacy ◽

Classification Learning ◽

Sparse Classification

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Distributed classification learning based on nonlinear vector support machines for switching networks

Kybernetika ◽

10.14736/kyb-2017-4-0595 ◽

2017 ◽

pp. 595-611 ◽

Author(s):

Yinghui Wang ◽

Peng Lin ◽

Huashu Qin

Keyword(s):

Classification Learning ◽

Switching Networks ◽

Nonlinear Vector ◽

Distributed Classification

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Action information from classification learning

PsycEXTRA Dataset ◽

10.1037/e527352012-239 ◽

2006 ◽

Author(s):

Brian H. Ross ◽

Ranxiao F. Wang ◽

Arthur F. Kramer ◽

Daniel J. Simons ◽

James A. Crowell

Keyword(s):

Classification Learning

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Rule-Plus-Exception Model of Classification Learning

PsycEXTRA Dataset ◽

10.1037/e665412011-106 ◽

1992 ◽

Author(s):

Robert M. Nosofsky

Keyword(s):

Classification Learning

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Proportional Differential Privacy (PDP): A new Approach for Differentially Private Histogram Release based on Buckets Densities

2020 9th IFIP International Conference on Performance Evaluation and Modeling in Wireless Networks (PEMWN) ◽

10.23919/pemwn50727.2020.9293079 ◽

2020 ◽

Author(s):

Mohammed AISSAOUI

Keyword(s):

Differential Privacy ◽

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Effects of Response Type and Problem Complexity upon Classification Learning

The Journal of General Psychology ◽

10.1080/00221309.1965.9711264 ◽

1965 ◽

Vol 73 (1) ◽

pp. 151-159 ◽

Author(s):

Gary A. Davis ◽

Lyle E. Bourne

Keyword(s):

Response Type ◽

Problem Complexity ◽

Classification Learning

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Differential Privacy for Distributed Consensus with Partial Observations

2020 IEEE 16th International Conference on Control & Automation (ICCA) ◽

10.1109/icca51439.2020.9264381 ◽

2020 ◽

Author(s):

Ye Pu

Keyword(s):

Differential Privacy ◽

Distributed Consensus ◽

Partial Observations

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LightDP: towards automating differential privacy proofs

Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages - POPL 2017 ◽

10.1145/3009837.3009884 ◽

2017 ◽

Author(s):

Danfeng Zhang ◽

Daniel Kifer

Keyword(s):

Differential Privacy

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On Sparse Linear Regression in the Local Differential Privacy Model

IEEE Transactions on Information Theory ◽

10.1109/tit.2020.3040406 ◽

2020 ◽

pp. 1-1

Author(s):

Di Wang ◽

Jinhui Xu

Keyword(s):

Linear Regression ◽

Differential Privacy ◽

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Super-convergence and Differential Privacy: Training faster with better privacy guarantees

2021 55th Annual Conference on Information Sciences and Systems (CISS) ◽

10.1109/ciss50987.2021.9400274 ◽

2021 ◽

Author(s):

Osvald Frisk ◽

Friedrich Dormann ◽

Christian Marius Lillelund ◽

Christian Fischer Pedersen

Keyword(s):

Differential Privacy ◽

Super Convergence

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