Federated Learning with Differential Privacy: Algorithms and Performance Analysis

1 November 2019

Kang Wei

Jun Li

Ming Ding

Papers citing "Federated Learning with Differential Privacy: Algorithms and Performance Analysis"

48 / 198 papers shown

Title
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks Ferheen Ayaz Zhengguo Sheng Daxin Tian Y. L. Guan 24 52 0 11 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 246 0 09 Sep 2021
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning Hang Liu Zehong Lin Xiaojun Yuan Y. Zhang 17 5 0 06 Sep 2021
Federated Learning Meets Fairness and Differential Privacy P. Manisha Sankarshan Damle Sujit Gujar FedML 38 21 0 23 Aug 2021
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects Fangqi Li Shi-Lin Wang Alan Wee-Chung Liew 24 8 0 20 Aug 2021
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges Enrique Mármol Campos Pablo Fernández Saura Aurora González-Vidal José Luis Hernández Ramos Jorge Bernal Bernabé G. Baldini A. Gómez-Skarmeta 50 149 0 02 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 44 73 0 01 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 30 67 0 27 Jul 2021
Precision-Weighted Federated Learning Jonatan Reyes Di-Jorio Lisa Cécile Low-Kam Marta Kersten-Oertel FedML 21 36 0 20 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 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 32 91 0 25 Jun 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 40 73 0 20 Jun 2021
Federated Learning with Spiking Neural Networks Yeshwanth Venkatesha Youngeun Kim Leandros Tassiulas Priyadarshini Panda FedML 33 47 0 11 Jun 2021
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 39 15 0 11 Jun 2021
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning Jinhyun So Ramy E. Ali Başak Güler Jiantao Jiao Salman Avestimehr FedML 45 77 0 07 Jun 2021
Federated Neural Collaborative Filtering V. Perifanis P. Efraimidis FedML 21 92 0 02 Jun 2021
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning He Yang 22 27 0 01 Jun 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks Qian Chen Zilong Wang Wenjing Zhang Xiaodong Lin FedML 33 17 0 30 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 32 46 0 17 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 56 244 0 29 Apr 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk Ali H. Sayed FedML 39 21 0 26 Apr 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 37 10 0 21 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 32 69 0 14 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Viet Quoc Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 36 418 0 05 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 39 129 0 31 Mar 2021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 110 118 0 09 Feb 2021
Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges Bin Jiang Jianqiang Li Guanghui Yue Haoze Song 33 117 0 26 Jan 2021
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation Nitin Agrawal Reuben Binns Max Van Kleek Kim Laine N. Shadbolt 26 43 0 20 Jan 2021
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions Alberto Blanco-Justicia J. Domingo-Ferrer Sergio Martínez David Sánchez Adrian Flanagan K. E. Tan FedML 26 110 0 12 Dec 2020
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning Hangyu Zhu Rui Wang Yaochu Jin K. Liang Jianting Ning FedML 35 46 0 25 Nov 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 29 82 0 25 Nov 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 24 60 0 18 Nov 2020
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks Youming Tao Shuzhen Chen Feng Li Dongxiao Yu Jiguo Yu Hao Sheng FedML 19 3 0 15 Nov 2020
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning Jiangcheng Qin Baisong Liu FedML 35 19 0 11 Nov 2020
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning) J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia 24 106 0 04 Nov 2020
Federated Learning with Nesterov Accelerated Gradient Zhengjie Yang Wei Bao Dong Yuan Nguyen H. Tran Albert Y. Zomaya FedML 24 31 0 18 Sep 2020
Federated Edge Learning : Design Issues and Challenges Afaf Taik Soumaya Cherkaoui FedML 21 62 0 31 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 26 60 0 22 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Differentially private cross-silo federated learning Mikko A. Heikkilä A. Koskela Kana Shimizu Samuel Kaski Antti Honkela FedML 29 24 0 10 Jul 2020
Client Adaptation improves Federated Learning with Simulated Non-IID Clients Laura Rieger Rasmus M. Th. Høegh Lars Kai Hansen FedML 29 6 0 09 Jul 2020
Topology-aware Differential Privacy for Decentralized Image Classification Shangwei Guo Tianwei Zhang Guowen Xu Hanzhou Yu Tao Xiang Yang Liu 27 18 0 14 Jun 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 30 9 0 18 Mar 2020
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Kang Wei Jun Li Ming Ding Chuan Ma Hang Su Bo Zhang H. Vincent Poor FedML 25 11 0 29 Feb 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 84 171 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 34 289 0 11 Feb 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,688 0 14 Apr 2018