The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation

12 February 2021

Papers citing "The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation"

50 / 141 papers shown

Title
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup Haochen Sun Xi He 41 0 0 30 Apr 2025
$Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime$ Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime Charlie Harrison Pasin Manurangsi 26 0 0 07 Apr 2025
A Failure-Free and Efficient Discrete Laplace Distribution for Differential Privacy in MPC Ivan Tjuawinata Jiabo Wang Mengmeng Yang Shanxiang Lyu Huaxiong Wang Kwok-Yan Lam 39 0 0 10 Mar 2025
Teaching Metric Distance to Autoregressive Multimodal Foundational Models Jiwan Chung Saejin Kim Yongrae Jo J. Park Dongjun Min Youngjae Yu 69 0 0 04 Mar 2025
On the Byzantine Fault Tolerance of signSGD with Majority Vote Emanuele Mengoli Luzius Moll Virgilio Strozzi El-Mahdi El-Mhamdi AAML FedML 55 0 0 26 Feb 2025
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities Tal Wagner FedML 48 0 0 21 Feb 2025
Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions Meenatchi Sundaram Muthu Selva Annamalai Igor Bilogrevic Emiliano De Cristofaro 61 0 0 03 Feb 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 69 0 0 21 Jan 2025
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data Cem Ata Baykara Ali Burak Ünal N. Pfeifer Mete Akgun 65 0 0 26 Nov 2024
Distributed, communication-efficient, and differentially private estimation of KL divergence Mary Scott Sayan Biswas Graham Cormode Carsten Maple FedML 67 0 0 25 Nov 2024
Differentially private and decentralized randomized power method Julien Nicolas César Sabater Mohamed Maouche Sonia Ben Mokhtar Mark Coates 34 1 0 04 Nov 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning using Packed Secret Sharing Alexander Bienstock Ujjwal Kumar Antigoni Polychroniadou FedML 34 0 0 21 Oct 2024
Secure Stateful Aggregation: A Practical Protocol with Applications in Differentially-Private Federated Learning Marshall Ball James Bell-Clark Adria Gascon Peter Kairouz Sewoong Oh Zhiye Xie FedML 26 0 0 15 Oct 2024
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 31 3 0 11 Oct 2024
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 53 5 0 11 Oct 2024
DP $^2$ -FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization Zhenxiao Zhang Yuanxiong Guo Yanmin Gong FedML 33 0 0 20 Sep 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 34 1 0 16 Aug 2024
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 35 0 0 08 Aug 2024
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation Sajani Vithana V. Cadambe Flavio du Pin Calmon Haewon Jeong FedML 42 1 0 03 Jul 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 26 8 0 05 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 0 04 Jun 2024
Privacy-Aware Randomized Quantization via Linear Programming Zhongteng Cai Xueru Zhang Mohammad Mahdi Khalili 38 2 0 01 Jun 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation Peihua Mai Ran Yan Yan Pang FedML 43 5 0 24 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 56 5 0 10 May 2024
Differentially Private Federated Learning without Noise Addition: When is it Possible? Jiang Zhang Konstantinos Psounis FedML 25 0 0 06 May 2024
The Privacy Power of Correlated Noise in Decentralized Learning Youssef Allouah Anastasia Koloskova Aymane El Firdoussi Martin Jaggi R. Guerraoui 29 4 0 02 May 2024
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy Wei-Ning Chen Berivan Isik Peter Kairouz Albert No Sewoong Oh Zheng Xu 47 3 0 02 May 2024
Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy Krishnamurthy Dvijotham H. B. McMahan Krishna Pillutla Thomas Steinke Abhradeep Thakurta 35 10 0 25 Apr 2024
Confidential Federated Computations Hubert Eichner Daniel Ramage Kallista A. Bonawitz Dzmitry Huba Tiziano Santoro ... Albert Cheu Katharine Daly Adria Gascon Marco Gruteser Brendan McMahan 40 2 0 16 Apr 2024
Secure Aggregation is Not Private Against Membership Inference Attacks K. Ngo Johan Ostman Giuseppe Durisi Alexandre Graell i Amat FedML 19 2 0 26 Mar 2024
Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda Christopher A. Choquette-Choo Zhengming Zhang Yaoqing Yang Prateek Mittal PILM 27 20 0 01 Mar 2024
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery Ajinkya Kiran Mulay Xiaojun Lin 19 0 0 29 Feb 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 19 0 0 29 Feb 2024
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data Richeng Jin Yujie Gu Kai Yue Xiaofan He Zhaoyang Zhang Huaiyu Dai FedML 20 0 0 16 Feb 2024
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources Sikha Pentyala Mayana Pereira Martine De Cock 11 1 0 13 Feb 2024
Decomposable Submodular Maximization in Federated Setting Akbar Rafiey FedML 22 1 0 31 Jan 2024
Gradient Coreset for Federated Learning D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 29 1 0 13 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 23 2 0 05 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 28 31 0 27 Dec 2023
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning Youssef Allouah R. Guerraoui John Stephan OOD 13 2 0 22 Dec 2023
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning Guangfeng Yan Tan Li Tian-Shing Lan Kui Wu Linqi Song 19 6 0 12 Dec 2023
QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution Zixi Wang M. C. Gursoy FedML 8 1 0 10 Dec 2023
Towards Efficient Secure Aggregation in FL: Partial Vector Freezing for Cost Compression Siqing Zhang Yong Liao Pengyuan Zhou 12 0 0 08 Dec 2023
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting Meenatchi Sundaram Muthu Selva Annamalai Igor Bilogrevic Emiliano De Cristofaro 32 1 0 28 Nov 2023
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs Yizheng Zhu Yuncheng Wu Zhaojing Luo Beng Chin Ooi Xiaokui Xiao 22 4 0 26 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 23 2 0 08 Nov 2023
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 17 2 0 07 Nov 2023
Compression with Exact Error Distribution for Federated Learning Mahmoud Hegazy Rémi Leluc Cheuk Ting Li Aymeric Dieuleveut FedML 6 9 0 31 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 25 0 0 29 Oct 2023
Robust and Actively Secure Serverless Collaborative Learning Olive Franzese Adam Dziedzic Christopher A. Choquette-Choo Mark R. Thomas Muhammad Ahmad Kaleem Stephan Rabanser Cong Fang Somesh Jha Nicolas Papernot Xiao Wang OOD 17 2 0 25 Oct 2023