Randomized Quantization is All You Need for Differential Privacy in
Federated Learning

Randomized Quantization is All You Need for Differential Privacy in Federated Learning

20 June 2023

Jacob D. Abernethy

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Papers citing "Randomized Quantization is All You Need for Differential Privacy in Federated Learning"

16 / 16 papers shown

Title
Prompt Inversion Attack against Collaborative Inference of Large Language Models Wenjie Qu Yuguang Zhou Yongji Wu Tingsong Xiao Binhang Yuan Yongbin Li Jiaheng Zhang 131 0 0 12 Mar 2025
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy Linh Tran Timothy Castiglia Stacy Patterson Ana Milanova FedML 106 0 0 23 Jan 2025
Privacy-Aware Compression for Federated Data Analysis Kamalika Chaudhuri Chuan Guo Michael G. Rabbat FedML 68 27 0 15 Mar 2022
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 85 127 0 11 Oct 2021
Learning with User-Level Privacy Daniel Levy Ziteng Sun Kareem Amin Satyen Kale Alex Kulesza M. Mohri A. Suresh FedML 94 91 0 23 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 108 243 0 12 Feb 2021
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 91 279 0 02 Jul 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 260 774 0 28 Sep 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 105 2,229 0 21 Jun 2019
cpSGD: Communication-efficient and differentially-private distributed SGD Naman Agarwal A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 136 491 0 27 May 2018
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 140 1,300 0 20 Dec 2017
Renyi Differential Privacy Ilya Mironov 93 1,268 0 24 Feb 2017
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović MQ 84 421 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 414 17,615 0 17 Feb 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 109 2,004 0 25 Jul 2014
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 102 1,345 0 12 Jun 2012