LDP-Fed: Federated Learning with Local Differential Privacy

5 June 2020

Mehmet Emre Gursoy

Papers citing "LDP-Fed: Federated Learning with Local Differential Privacy"

50 / 139 papers shown

Title
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 57 4 0 06 Oct 2023
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks Tinghao Zhang Kwok-Yan Lam Jun Zhao 56 2 0 17 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 61 11 0 01 Sep 2023
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics Zhuohang Li Chao Yan Xinmeng Zhang Gharib Gharibi Zhijun Yin Xiaoqian Jiang B. Malin FedML 43 12 0 21 Aug 2023
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering Ce Feng Nuo Xu Wujie Wen Parv Venkitasubramaniam Caiwen Ding 45 4 0 25 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 122 278 0 20 Jul 2023
Achieving the Exactly Optimal Privacy-Utility Trade-Off with Low Communication Cost via Shared Randomness Seungsoo Nam Hyun-Young Park Si-Hyeon Lee 49 2 0 08 Jul 2023
Saibot: A Differentially Private Data Search Platform Zezhou Huang Jiaxiang Liu Daniel Alabi Raul Castro Fernandez Eugene Wu 49 7 0 01 Jul 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 104 48 0 14 Jun 2023
Resource Aware Clustering for Tackling the Heterogeneity of Participants in Federated Learning Rahul Mishra Hari Prabhat Gupta Garvit Banga FedML 67 4 0 07 Jun 2023
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning Kostadin Garov Dimitar I. Dimitrov Nikola Jovanović Martin Vechev AAML FedML 65 9 0 05 Jun 2023
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning Xiaojin Zhang Yan Kang Lixin Fan Kai Chen Qiang Yang FedML 49 6 0 28 May 2023
Privacy-Preserving Model Aggregation for Asynchronous Federated Learning Jianxiang Zhao Xiangman Li Jianbing Ni 140 1 0 27 May 2023
Personalized DP-SGD using Sampling Mechanisms Geon Heo Junseok Seo Steven Euijong Whang 55 2 0 24 May 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 49 9 0 24 May 2023
Securing Distributed SGD against Gradient Leakage Threats Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu FedML 65 19 0 10 May 2023
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion Xiaojin Zhang Kai Chen Qian Yang FedML 58 5 0 07 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 117 19 0 29 Apr 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li Duanyi Yao Jin Liu FedML 103 30 0 26 Apr 2023
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 73 23 0 15 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 48 4 0 11 Apr 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 50 0 0 11 Apr 2023
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened Shaowei Wang FedML 96 9 0 11 Apr 2023
Probably Approximately Correct Federated Learning Xiaojin Zhang Anbu Huang Lixin Fan Kai Chen Qiang Yang FedML 74 5 0 10 Apr 2023
Have it your way: Individualized Privacy Assignment for DP-SGD Franziska Boenisch Christopher Muhl Adam Dziedzic Roy Rinberg Nicolas Papernot 82 18 0 29 Mar 2023
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning Xinnan Yuan W. Ni Ming Ding Kang Wei Jun Li H. Vincent Poor FedML 64 45 0 07 Mar 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 85 8 0 22 Feb 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 86 12 0 21 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 156 49 0 21 Feb 2023
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection Haobo Zhang Junyuan Hong Fan Dong Steve Drew Liangjie Xue Jiayu Zhou FedML 96 18 0 07 Feb 2023
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison Xiangfeng Wang Hongteng Xu Moyi Yang OT 100 2 0 28 Jan 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 77 10 0 16 Jan 2023
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML 71 21 0 09 Jan 2023
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise Jie Fu Zhili Chen Xiao Han FedML 60 31 0 29 Nov 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 90 9 0 26 Oct 2022
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case Pantelitsa Leonidou N. Kourtellis Nikos Salamanos Michael Sirivianos 25 2 0 23 Sep 2022
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees Jiaqian Ren Lei Jiang Hao Peng Lingjuan Lyu Zhiwei Liu Chaochao Chen Hongzhi Zhang Xu Bai Philip S. Yu 61 13 0 04 Sep 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning Xiaojin Zhang Yan Kang Kai Chen Lixin Fan Qiang Yang FedML 120 55 0 01 Sep 2022
FedPerm: Private and Robust Federated Learning by Parameter Permutation Hamid Mozaffari Virendra J. Marathe D. Dice FedML 80 4 0 16 Aug 2022
sqSGD: Locally Private and Communication Efficient Federated Learning Yan Feng Tao Xiong Ruofan Wu Lingjuan Lv Leilei Shi FedML 70 2 0 21 Jun 2022
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services W. Hutiri Aaron Yi Ding 47 4 0 20 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 78 37 0 15 Jun 2022
Hierarchical Federated Learning with Privacy Varun Chandrasekaran Suman Banerjee Diego Perino N. Kourtellis FedML 75 8 0 10 Jun 2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning Alberto Blanco-Justicia David Sánchez J. Domingo-Ferrer K. Muralidhar 74 63 0 09 Jun 2022
Subject Granular Differential Privacy in Federated Learning Virendra J. Marathe Pallika H. Kanani Daniel W. Peterson Guy Steele Jr FedML 52 9 0 07 Jun 2022
Group privacy for personalized federated learning Filippo Galli Sayan Biswas Kangsoo Jung Tommaso Cucinotta C. Palamidessi FedML 77 12 0 07 Jun 2022
Subject Membership Inference Attacks in Federated Learning Anshuman Suri Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson 57 27 0 07 Jun 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data Joceline Ziegler Bjarne Pfitzner H. Schulz A. Saalbach B. Arnrich FedML 59 17 0 06 May 2022
Federated Stochastic Primal-dual Learning with Differential Privacy Yiwei Li Shuai Wang Tsung-Hui Chang Chong-Yung Chi FedML 41 9 0 26 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 93 24 0 07 Apr 2022