A Systematic Review of Federated Learning in the Healthcare Area: From the Perspective of Data Properties and Applications

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

FeARH: Federated machine learning with Anonymous Random Hybridization on electronic medical records

(2021) Jianfei Cui et al.   JOURNAL OF BIOMEDICAL INFORMATICS

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

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

(2021) Matthew J Page et al.   BMJ-British Medical Journal

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

Federated Learning in a Medical Context: A Systematic Literature Review

(2021) Bjarne Pfitzner et al.   ACM Transactions on Internet Technology

Federated learning for COVID-19 screening from Chest X-ray images

(2021) Ines Feki et al.   APPLIED SOFT COMPUTING

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

(2021) Longling Zhang et al.   INFORMATION SYSTEMS FRONTIERS

COVID-19 detection using federated machine learning

(2021) Mustafa Abdul Salam et al.   PLoS One

Federated Compressed Learning Edge Computing Framework with Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications

(2021) Karisma Trinanda Putra et al.   SENSORS

A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach

(2021) Zeyue Xue et al.   IEEE Internet of Things Journal

Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study

(2021) Dongchul Cha et al.   JMIR Medical Informatics

Federated learning on non-IID data: A survey

(2021) Hangyu Zhu et al.   NEUROCOMPUTING

LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data

(2020) Li Huang et al.   PLoS One

Inference attacks against differentially private query results from genomic datasets including dependent tuples

(2020) Nour Almadhoun et al.   BIOINFORMATICS

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

(2020) Micah J. Sheller et al.   Scientific Reports

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

Federated learning improves site performance in multicenter deep learning without data sharing

(2020) Karthik V Sarma et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Federated Learning Meets Human Emotions: A Decentralized Framework for Human–Computer Interaction for IoT Applications

(2020) Prateek Chhikara et al.   IEEE Internet of Things Journal

Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data

(2020) Zengqiang Yan et al.   IEEE Journal of Biomedical and Health Informatics

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring

(2020) Qiong Wu et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

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

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

(2019) Yang Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Demystifying Membership Inference Attacks in Machine Learning as a Service

(2019) Stacey Truex et al.   IEEE Transactions on Services Computing

Federated learning of predictive models from federated Electronic Health Records

(2018) Theodora S. Brisimi et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A Survey on Homomorphic Encryption Schemes

(2018) Abbas Acar et al.   ACM COMPUTING SURVEYS

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images

(2018) Yangqin Feng et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

(2018) Tom J. Pollard et al.   Scientific Data

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Sex and Smoking Status Effects on the Early Detection of Early Lung Cancer in High-Risk Smokers Using an Electronic Nose

(2015) Annette McWilliams et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Embedding AI and Crowdsourcing in the Big Data Lake

(2014) Daniel E. O'Leary   IEEE INTELLIGENT SYSTEMS

The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

(2013) A Di Martino et al.   MOLECULAR PSYCHIATRY