标题
Federated Learning for Healthcare: Systematic Review and Architecture Proposal
作者
关键词
-
出版物
ACM Transactions on Intelligent Systems and Technology
Volume -, Issue -, Pages -
出版商
Association for Computing Machinery (ACM)
发表日期
2022-02-05
DOI
10.1145/3501813
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- From Server-Based to Client-Based Machine Learning
- (2021) Renjie Gu et al. ACM COMPUTING SURVEYS
- A survey on federated learning
- (2021) Chen Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
- (2021) Akhil Vaid et al. JMIR Medical Informatics
- Decentralised Learning in Federated Deployment Environments
- (2021) Paolo Bellavista et al. ACM COMPUTING SURVEYS
- When Machine Learning Meets Privacy
- (2021) Bo Liu et al. ACM COMPUTING SURVEYS
- Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
- (2021) Dong Yang et al. MEDICAL IMAGE ANALYSIS
- Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data
- (2021) Jessica Chia Liu et al. JMIR mHealth and uHealth
- Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment
- (2021) Haeyun Lee et al. JMIR Medical Informatics
- Agent architecture of an intelligent medical system based on federated learning and blockchain technology
- (2021) Dawid Połap et al. Journal of Information Security and Applications
- Distributed learning on 20 000+ lung cancer patients – The Personal Health Train
- (2020) Timo M. Deist et al. RADIOTHERAPY AND ONCOLOGY
- Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition
- (2020) Maoguo Gong et al. NEURAL NETWORKS
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- (2020) Jing Jiang et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- EaSTFLy: Efficient and secure ternary federated learning
- (2020) Ye Dong et al. COMPUTERS & SECURITY
- A training-integrity privacy-preserving federated learning scheme with trusted execution environment
- (2020) Yu Chen et al. INFORMATION SCIENCES
- FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
- (2020) Yiqiang Chen et al. IEEE INTELLIGENT SYSTEMS
- Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results
- (2020) Xiaoxiao Li et al. MEDICAL IMAGE ANALYSIS
- A survey on security and privacy of federated learning
- (2020) Viraaji Mothukuri et al. Future Generation Computer Systems-The International Journal of eScience
- A Security Awareness and Protection System for 5G Smart Healthcare Based on Zero-Trust Architecture
- (2020) Baozhan Chen et al. IEEE Internet of Things Journal
- Federated Machine Learning
- (2019) Qiang Yang et al. ACM Transactions on Intelligent Systems and Technology
- Patient Clustering Improves Efficiency of Federated Machine Learning to Predict Mortality and Hospital Stay Time Using Distributed Electronic Medical Records
- (2019) Li Huang et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Making Machine Learning Models Clinically Useful
- (2019) Nigam H. Shah et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards
- (2018) Cristiano André da Costa et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Federated learning of predictive models from federated Electronic Health Records
- (2018) Theodora S. Brisimi et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- The eICU Collaborative Research Database, a freely available multi-center database for critical care research
- (2018) Tom J. Pollard et al. Scientific Data
- A call for deep-learning healthcare
- (2018) Beau Norgeot et al. NATURE MEDICINE
- Machine learning in medicine: Addressing ethical challenges
- (2018) Effy Vayena et al. PLOS MEDICINE
- Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries
- (2017) Arthur Jochems et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
- (2017) Benjamin Shickel et al. IEEE Journal of Biomedical and Health Informatics
- MIMIC-III, a freely accessible critical care database
- (2016) Alistair E.W. Johnson et al. Scientific Data
- Data, privacy, and the greater good
- (2015) E. Horvitz et al. SCIENCE
- Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
- (2014) David W. Bates et al. HEALTH AFFAIRS
- Clinical Benefits of Electronic Health Record Use: National Findings
- (2013) Jennifer King et al. HEALTH SERVICES RESEARCH
- Systematic reviews in software engineering: An empirical investigation
- (2012) He Zhang et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Electronic Health Record Components and the Quality of Care
- (2008) Salomeh Keyhani et al. MEDICAL CARE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now