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"

50 / 173 papers shown

Title
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 32 48 0 15 Jun 2023
Cryptography approach for Secure Outsourced Data Storage in Cloud Environment Rishabh Gupta D. Saxena Ashutosh Kumar Singh 30 0 0 14 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 29 1 0 11 Jun 2023
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence Veronika Stephanie I. Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman FedML 13 10 0 16 May 2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning Yumeki Goto Tomoya Matsumoto Hamada Rizk Naoto Yanai Hirozumi Yamaguchi 33 6 0 14 May 2023
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems Aditya Pribadi Kalapaaking Ibrahim Khalil X. Yi 19 41 0 26 Apr 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman X. Yi Mahathir Almashor FedML 21 65 0 25 Apr 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 36 4 0 15 Apr 2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review Siqi Li Pinyan Liu G. G. Nascimento Xinru Wang F. Leite ... Daniel Ting Hamed Haddadi M. Ong M. A. Peres Nan Liu 20 11 0 14 Apr 2023
Edge-cloud Collaborative Learning with Federated and Centralized Features Zexi Li Qunwei Li Yi Zhou Wenliang Zhong Guannan Zhang Chao-Xiang Wu FedML 33 10 0 12 Apr 2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Feng Shu Haitao Zhao Wen Chen Hongbo Zhu FedML 32 4 0 09 Apr 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 33 18 0 24 Mar 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes Yair Meidan D. Avraham H. Libhaber A. Shabtai 19 8 0 02 Mar 2023
Differentially Private Distributed Convex Optimization Minseok Ryu Kibaek Kim FedML 25 1 0 28 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 36 7 0 22 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 84 47 0 21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
Balancing Privacy Protection and Interpretability in Federated Learning Zhe Li Honglong Chen Zhichen Ni Huajie Shao FedML 16 8 0 16 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 36 10 0 28 Jan 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 27 9 0 16 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 26 11 0 04 Jan 2023
A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment Ashutosh Kumar Singh Rishabh Gupta 22 36 0 23 Dec 2022
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 13 5 0 22 Dec 2022
Straggler-Resilient Differentially-Private Decentralized Learning Yauhen Yakimenka Chung-Wei Weng Hsuan-Yin Lin E. Rosnes J. Kliewer 29 6 0 06 Dec 2022
Decentralized Matrix Factorization with Heterogeneous Differential Privacy Wentao Hu Hui Fang 19 0 0 01 Dec 2022
The Bounded Gaussian Mechanism for Differential Privacy Bo Chen Matthew T. Hale 14 4 0 30 Nov 2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise Jie Fu Zhili Chen Xiao Han FedML 22 28 0 29 Nov 2022
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing Hai M. Nguyen N. Chu Diep N. Nguyen D. Hoang Van-Dinh Nguyen Minh Hoàng Hà E. Dutkiewicz Marwan Krunz FedML 27 1 0 14 Nov 2022
Privacy-preserving Non-negative Matrix Factorization with Outliers Swapnil Saha H. Imtiaz PICV 21 3 0 02 Nov 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 44 9 0 26 Oct 2022
Federated Calibration and Evaluation of Binary Classifiers Graham Cormode Igor L. Markov FedML 33 4 0 22 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations Jialing Liao Zheng Chen Erik G. Larsson 25 12 0 05 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 34 6 0 03 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 31 3 0 03 Oct 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 48 27 0 29 Sep 2022
Momentum Gradient Descent Federated Learning with Local Differential Privacy Mengde Han Tianqing Zhu Wanlei Zhou FedML 19 0 0 28 Sep 2022
On the utility and protection of optimization with differential privacy and classic regularization techniques Eugenio Lomurno Matteo matteucci 20 9 0 07 Sep 2022
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations Nima Tavangaran Mingzhe Chen Zhaohui Yang J. M. B. D. Silva H. Vincent Poor FedML 28 4 0 25 Aug 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 37 46 0 23 Aug 2022
Knowledge-Injected Federated Learning Zhenan Fan Zirui Zhou Jian Pei M. Friedlander Jiajie Hu Chengliang Li Yong Zhang FedML 25 4 0 16 Aug 2022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning Xumeng Wang Wei Chen Jiazhi Xia Zhen Wen Rongchen Zhu Tobias Schreck FedML 26 20 0 16 Aug 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks Mengyuan Lee Guanding Yu H. Dai 30 11 0 15 Aug 2022
A New Implementation of Federated Learning for Privacy and Security Enhancement Xiang Ma Haijian Sun R. Hu Yi Qian FedML 43 3 0 03 Aug 2022
Differentially Private Vertical Federated Clustering Zitao Li Tianhao Wang Ninghui Li FedML 26 18 0 02 Aug 2022
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare Moirangthem Biken Singh A. Pratap OOD 35 3 0 24 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Bo-wen Li D. Song FedML 29 8 0 21 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 31 61 0 20 Jul 2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 29 5 0 19 Jul 2022
$k$ -Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy Chenglin Fan Ping Li Xiaoyun Li 32 6 0 26 Jun 2022