Differential Privacy-enabled Federated Learning for Sensitive Health Data

7 October 2019

Papers citing "Differential Privacy-enabled Federated Learning for Sensitive Health Data"

50 / 57 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 64 0 0 08 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 65 0 0 03 May 2025
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 276 1 0 19 Nov 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 36 0 0 17 Oct 2024
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation Sergey Skorik A. Avetisyan DiffM MedIm 48 0 0 15 Jul 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 39 8 0 18 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 34 1 0 16 Jun 2024
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data Yukai Xu Jingfeng Zhang Yujie Gu FedML 35 1 0 15 Jun 2024
Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning Zhihao Lin Wei Ma Tao Lin Yaowen Zheng Jingquan Ge Jun Wang Jacques Klein Tegawende F. Bissyande Yang Liu Li Li VLM 35 5 0 09 Apr 2024
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures Hao Song Jiacheng Yao Zhengxi Li Shaocong Xu Shibo Jin Jiajun Zhou Chenbo Fu Qi Xuan Shanqing Yu FedML 55 0 0 24 Mar 2024
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs Anika Hannemann Jan Ewald Leo Seeger Erik Buchmann FedML 37 2 0 22 Feb 2024
Secure Federated Learning Approaches to Diagnosing COVID-19 Rittika Adhikari Christopher Settles FedML OOD 19 0 0 23 Jan 2024
Attention on Personalized Clinical Decision Support System: Federated Learning Approach Chu Myaet Thwal K. Thar Ye Lin Tun Choong Seon Hong 29 22 0 22 Jan 2024
Using Decentralized Aggregation for Federated Learning with Differential Privacy H. Saleh Y. El-Sonbaty Ana Fernández Vilas M. Fernández-Veiga Nashwa El-Bendary FedML 29 3 0 27 Nov 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 26 20 0 24 Aug 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 45 39 0 14 Jun 2023
Privacy-Preserving Model Aggregation for Asynchronous Federated Learning Jianxiang Zhao Xiangman Li Jianbing Ni 10 1 0 27 May 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
Client-specific Property Inference against Secure Aggregation in Federated Learning Raouf Kerkouche G. Ács Mario Fritz FedML 63 9 0 07 Mar 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 48 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 38 21 0 20 Feb 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 26 21 0 09 Feb 2023
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III Aron N. Horvath Matteo Berchier Farhad Nooralahzadeh Ahmed Allam Michael Krauthammer FedML 25 2 0 08 Feb 2023
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise Jie Fu Zhili Chen Xiao Han FedML 32 28 0 29 Nov 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 38 2 0 28 Oct 2022
Exploring privacy-enhancing technologies in the automotive value chain Gonzalo Munilla Garrido Kaja Schmidt Christopher Harth-Kitzerow Johannes Klepsch André Luckow Florian Matthes 26 7 0 12 Sep 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 48 91 0 05 Aug 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning Marc Juárez Aleksandra Korolova FedML 32 9 0 24 Jun 2022
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting Thomas Borger P. Mosteiro Heysem Kaya Emil Rijcken A. A. Salah Floortje E. Scheepers Marco Spruit FedML 24 23 0 17 May 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 30 14 0 06 May 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 37 119 0 18 Mar 2022
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning Minseok Ryu Youngdae Kim Kibaek Kim Ravi K. Madduri FedML 9 27 0 08 Feb 2022
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 24 517 0 16 Nov 2021
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 53 45 0 05 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 73 45 0 01 Oct 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 41 21 0 20 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 32 2 0 05 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
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 176 0 10 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 32 87 0 04 May 2021
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation Mohamed Seif Wei-Ting Chang Ravi Tandon FedML 31 45 0 02 Mar 2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study Ning Ge Guanghao Li Li Zhang Yi Liu FedML 29 45 0 25 Jan 2021
Personalized Federated Deep Learning for Pain Estimation From Face Images Ognjen Rudovic Nicolas Tobis Sebastian Kaltwang Björn Schuller Daniel Rueckert Jeffrey F. Cohn Rosalind W. Picard CVBM FedML 30 24 0 12 Jan 2021
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 36 22 0 01 Dec 2020
Federated Learning in Adversarial Settings Raouf Kerkouche G. Ács C. Castelluccia FedML 21 15 0 15 Oct 2020
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data David R. Bellamy Leo Anthony Celi Andrew L. Beam LM&MA OOD 29 23 0 02 Oct 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 31 169 0 21 Sep 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 14 202 0 24 Aug 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 18 137 0 09 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