User-Level Private Learning via Correlated Sampling

User-Level Private Learning via Correlated Sampling

21 October 2021

Pasin Manurangsi

Papers citing "User-Level Private Learning via Correlated Sampling"

12 / 12 papers shown

Title
Replicable Learning of Large-Margin Halfspaces Alkis Kalavasis Amin Karbasi Kasper Green Larsen Grigoris Velegkas Felix Y. Zhou 37 8 0 21 Feb 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates Hilal Asi Daogao Liu 24 8 0 07 Nov 2023
Statistical Indistinguishability of Learning Algorithms Alkis Kalavasis Amin Karbasi Shay Moran Grigoris Velegkas 25 16 0 23 May 2023
Continual Mean Estimation Under User-Level Privacy Anand George Lekshmi Ramesh A. V. Singh Himanshu Tyagi FedML 34 8 0 20 Dec 2022
Learning to Generate Image Embeddings with User-level Differential Privacy Zheng Xu Maxwell D. Collins Yuxiao Wang Liviu Panait Sewoong Oh S. Augenstein Ting Liu Florian Schroff H. B. McMahan FedML 30 29 0 20 Nov 2022
Subspace Recovery from Heterogeneous Data with Non-isotropic Noise John C. Duchi Vitaly Feldman Lunjia Hu Kunal Talwar FedML 11 11 0 24 Oct 2022
Private Non-Convex Federated Learning Without a Trusted Server Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn FedML 33 24 0 13 Mar 2022
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message Badih Ghazi Ravi Kumar Pasin Manurangsi Rasmus Pagh Amer Sinha FedML 65 36 0 27 Sep 2021
Learning with User-Level Privacy Daniel Levy Ziteng Sun Kareem Amin Satyen Kale Alex Kulesza M. Mohri A. Suresh FedML 17 89 0 23 Feb 2021
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 45 55 0 24 Sep 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 141 420 0 29 Nov 2018
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 91 278 0 02 Oct 2017