Differentially Private Federated Learning: A Client Level Perspective

20 December 2017

Papers citing "Differentially Private Federated Learning: A Client Level Perspective"

50 / 211 papers shown

Title
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 26 115 0 22 Oct 2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning Yupeng Jiang Yong Li Yipeng Zhou Xi Zheng FedML AAML 26 15 0 20 Oct 2020
Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li Bingsheng He D. Song FedML 16 114 0 02 Oct 2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data Xuebin Ren Chia-Mu Yu Wei Yu Xinyu Yang Jun Zhao Shusen Yang 15 6 0 29 Sep 2020
Private data sharing between decentralized users through the privGAN architecture Jean-Francois Rajotte R. Ng FedML 18 3 0 14 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 26 106 0 11 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 34 125 0 05 Aug 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 21 59 0 22 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 16 238 0 21 Jul 2020
Learn distributed GAN with Temporary Discriminators Hui Qu Yikai Zhang Qi Chang Zhennan Yan Chao Chen Dimitris N. Metaxas FedML 21 16 0 17 Jul 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 28 361 0 15 Jul 2020
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 21 22 0 13 Jul 2020
SPEED: Secure, PrivatE, and Efficient Deep learning Arnaud Grivet Sébert Rafael Pinot Martin Zuber Cédric Gouy-Pailler Renaud Sirdey FedML 15 20 0 16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 32 162 0 16 Jun 2020
Topology-aware Differential Privacy for Decentralized Image Classification Shangwei Guo Tianwei Zhang Guowen Xu Hanzhou Yu Tao Xiang Yang Liu 19 18 0 14 Jun 2020
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David E. Evans 21 147 0 21 May 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 25 83 0 18 May 2020
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints Amir Sonee Stefano Rini 11 16 0 15 May 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 73 25 0 27 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 25 15 0 24 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 60 50 0 01 Apr 2020
Semi-Federated Learning Zhikun Chen Daofeng Li Mingde Zhao Sihai Zhang Jinkang Zhu FedML 8 18 0 28 Mar 2020
Learn to Forget: Machine Unlearning via Neuron Masking Yang Liu Zhuo Ma Ximeng Liu Jian-wei Liu Zhongyuan Jiang Jianfeng Ma Philip Yu K. Ren MU 20 61 0 24 Mar 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 28 66 0 21 Mar 2020
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Kang Wei Jun Li Ming Ding Chuan Ma Hang Su Bo-Wen Zhang H. Vincent Poor FedML 25 11 0 29 Feb 2020
Anonymizing Data for Privacy-Preserving Federated Learning Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML 25 42 0 21 Feb 2020
Dynamic Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 22 25 0 20 Feb 2020
PrivacyFL: A simulator for privacy-preserving and secure federated learning Vaikkunth Mugunthan Anton Peraire-Bueno Lalana Kagal FedML 14 57 0 19 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 20 3 0 18 Feb 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 81 171 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 22 289 0 11 Feb 2020
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev 30 69 0 29 Jan 2020
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 21 10 0 27 Dec 2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 19 33 0 17 Dec 2019
Private Federated Learning with Domain Adaptation Daniel W. Peterson Pallika H. Kanani Virendra J. Marathe FedML 15 81 0 13 Dec 2019
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 24 58 0 03 Dec 2019
Federated Learning with Bayesian Differential Privacy Aleksei Triastcyn Boi Faltings FedML 16 172 0 22 Nov 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 8 134 0 22 Oct 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 35 106 0 12 Sep 2019
Gradient Descent with Compressed Iterates Ahmed Khaled Peter Richtárik 21 22 0 10 Sep 2019
An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning Hongyu Li Tianqi Han FedML 13 32 0 22 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 38 378 0 31 Jul 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 24 597 0 30 Jul 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 18 30 0 30 Jul 2019
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy Michalis Pachilakis P. Papadopoulos Nikolaos Laoutaris E. Markatos N. Kourtellis 17 9 0 24 Jul 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 10 703 0 22 Jul 2019
Privacy-Preserving Classification with Secret Vector Machines Valentin Hartmann Konark Modi J. M. Pujol Robert West 23 14 0 08 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 70 2,283 0 04 Jul 2019
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM Bao Wang Quanquan Gu M. Boedihardjo Farzin Barekat Stanley J. Osher 11 25 0 28 Jun 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 18 108 0 22 Feb 2019