LDP-Fed: Federated Learning with Local Differential Privacy

5 June 2020

Mehmet Emre Gursoy

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

39 / 139 papers shown

Title
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures Md Tamjid Hossain S. Badsha Hung M. La Haoting Shen Shafkat Islam Ibrahim Khalil X. Yi AAML 50 3 0 06 Apr 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey Ziyao Liu Jiale Guo Wenzhuo Yang Jiani Fan Kwok-Yan Lam Jun Zhao FedML 100 93 0 31 Mar 2022
Privatized Graph Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 63 4 0 14 Mar 2022
Private Non-Convex Federated Learning Without a Trusted Server Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn FedML 99 27 0 13 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 92 66 0 11 Mar 2022
Local Differential Privacy for Federated Learning Pathum Chamikara Mahawaga Arachchige Dongxi Liu S. Çamtepe Surya Nepal M. Grobler P. Bertók Ibrahim Khalil FedML 74 22 0 12 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian Raouf Kerkouche I. Kurth Mario Fritz FedML 67 11 0 08 Feb 2022
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors Timothy Stevens Christian Skalka C. Vincent J. Ring Samuel Clark Joseph P. Near FedML 71 72 0 13 Dec 2021
Efficient and Reliable Overlay Networks for Decentralized Federated Learning Yifan Hua Kevin Miller Andrea L. Bertozzi Chao Qian Bao Wang OOD FedML 65 21 0 12 Dec 2021
Location Leakage in Federated Signal Maps Evita Bakopoulou Justin Ley Jiang Zhang Konstantinos Psounis A. Markopoulou FedML 71 5 0 07 Dec 2021
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 103 188 0 06 Dec 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 140 102 0 11 Nov 2021
Federated Learning with Heterogeneous Differential Privacy Nasser Aldaghri Hessam Mahdavifar Ahmad Beirami FedML 71 2 0 28 Oct 2021
Secure Aggregation for Buffered Asynchronous Federated Learning Jinhyun So Ramy E. Ali Başak Güler A. Avestimehr FedML 72 26 0 05 Oct 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 138 179 0 29 Sep 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 88 61 0 07 Jul 2021
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy Yipeng Zhou Xuezheng Liu Yao Fu Di Wu Chao Li Shui Yu FedML 66 2 0 05 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 72 87 0 02 Jul 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang Xiangyi Chen Min-Fong Hong Zhiwei Steven Wu Jinfeng Yi FedML 71 96 0 25 Jun 2021
Revisiting the Arguments for Edge Computing Research Blesson Varghese E. de Lara Aaron Yi Ding Cheol-Ho Hong F. Bonomi ... P. Harvey P. Hewkin Weisong Shi M. Thiele P. Willis 64 29 0 23 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 100 809 0 12 Jun 2021
Private Hierarchical Clustering in Federated Networks Aashish Kolluri Teodora Baluta Prateek Saxena FedML 45 12 0 19 May 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities Jiahui Geng Neel Kanwal M. Jaatun Chunming Rong 62 19 0 18 May 2021
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback Lorenzo Minto Moritz Haller Hamed Haddadi B. Livshits FedML 67 74 0 09 May 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk Ali H. Sayed FedML 87 22 0 26 Apr 2021
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector A. Durrant Milan Markovic David Matthews David May J. Enright Georgios Leontidis FedML 72 72 0 14 Apr 2021
Fair and Differentially Private Distributed Frequency Estimation Mengmeng Yang Ivan Tjuawinata Kwok-Yan Lam Tianqing Zhu Jun Zhao 13 2 0 13 Apr 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 85 9 0 12 Mar 2021
Learner-Private Convex Optimization Jiaming Xu Kuang Xu Dana Yang FedML 66 2 0 23 Feb 2021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 168 120 0 09 Feb 2021
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times Yao Fu Yipeng Zhou Di Wu Shui Yu Yonggang Wen Chao Li FedML 51 10 0 11 Jan 2021
Communication-Computation Efficient Secure Aggregation for Federated Learning Beongjun Choi Jy-yong Sohn Dong-Jun Han Jaekyun Moon FedML 87 96 0 10 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 326 374 0 07 Dec 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 82 60 0 18 Nov 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 90 88 0 11 Oct 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 100 107 0 11 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 119 150 0 08 Sep 2020
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy Lichao Sun Jianwei Qian Xun Chen FedML 82 212 0 31 Jul 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 111 150 0 22 Apr 2020