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In this paper, we revisit the problem of private stochastic convex optimization.
Weaving technology and policy together to maintain confidentiality
Latanya Sweeney · 1997
Earlier work this paper cites.
Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Robust de-anonymization of large sparse datasets
Arvind Narayanan and Vitaly Shmatikov · 2008
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Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal, Martin J Wainwright, Peter L Bartlett, and Pradeep K Ravikumar · 2009
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On the duality of strong convexity and strong smoothness: Learning applications and matrix regularization
Sham Kakade, Shai Shalev-Shwartz, and Ambuj Tewari · 2009
Earlier work this paper cites.
Boosting and Differential Privacy
Cynthia Dwork, Guy N. Rothblum, and Salil P. Vadhan · 2010
Earlier work this paper cites.
Differentially private empirical risk minimization
Kamalika Chaudhuri, Claire Monteleoni, and Anand D. Sarwate · 2011
Cited alongside, same era.
Regret analysis of stochastic and nonstochastic multi-armed bandit problems
Sébastien Bubeck and Nicolo Cesa-Bianchi · 2012
Cited alongside, same era.
The nature of statistical learning theory
Vladimir Vapnik · 2013
Cited alongside, same era.
Private empirical risk minimization: Efficient algorithms and tight error bounds
Raef Bassily, Adam Smith, and Abhradeep Thakurta · 2014
Cited alongside, same era.
Preserving statistical validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Leon Roth · 2015
Cited alongside, same era.
Rényi differential privacy
Ilya Mironov · 2017
Later among the works it cites.
Privacy amplification by iteration
Vitaly Feldman, Ilya Mironov, Kunal Talwar, and Abhradeep Thakurta · 2018
Later among the works it cites.
Private stochastic convex optimization with optimal rates
Raef Bassily, Vitaly Feldman, Kunal Talwar, and Abhradeep Guha Thakurta · 2019
Later among the works it cites.
Subsampled rényi differential privacy and analytical moments accountant
Yu-Xiang Wang, Borja Balle, and Shiva Prasad Kasiviswanathan · 2019
Later among the works it cites.
Private stochastic convex optimization: optimal rates in linear time
Vitaly Feldman, Tomer Koren, and Kunal Talwar · 2020
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