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2011.03186
Cited By

Revisiting Model-Agnostic Private Learning: Faster Rates and Active
Learning

v1v2v3v4 (latest)

Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning

6 November 2020

Kamalika Chaudhuri

ArXiv (abs)PDF HTML

Papers citing "Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning"

4 / 4 papers shown

Operator-Theoretic Framework for Gradient-Free Federated Learning

Operator-Theoretic Framework for Gradient-Free Federated Learning

Mathias Brucker

Alexander Valentinitsch

Adnan Husaković

Bernhard A. Moser

281

0

0

30 Nov 2025

Selective Pre-training for Private Fine-tuning

Selective Pre-training for Private Fine-tuning

Janardhan Kulkarni

461

26

0

23 May 2023

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

Nathalie Baracaldo

234

154

0

10 Aug 2021

Faster Rates of Private Stochastic Convex Optimization

Faster Rates of Private Stochastic Convex Optimization

Lijie Hu

286

14

0

31 Jul 2021

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