Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
Sign Up to like & getrecommendations! Published in 2019 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2019.103291
Abstract: Electronic medical records (EMRs) support the development of machine learning algorithms for predicting disease incidence, patient response to treatment, and other healthcare events. But so far most algorithms have been centralized, taking little account of… read more here.
Keywords: machine; federated machine; machine learning; patient clustering ... See more keywords
Open Challenges in Federated Machine Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet Computing"
DOI: 10.1109/mic.2022.3190552
Abstract: Federated machine learning is an innovative technique to allow one to train machine learning models mainly on distributed (user) devices not to share private data with third parties. Each device contributes by training a partial… read more here.
Keywords: challenges federated; machine; machine learning; open challenges ... See more keywords
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning?
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.3010335
Abstract: The growing number of mobile and IoT devices has nourished many intelligent applications. In order to produce high-quality machine learning models, they constantly access and collect rich personal data such as photos, browsing history, and… read more here.
Keywords: local differential; federated machine; differential privacy; privacy ... See more keywords
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0230706
Abstract: Intensive care data are valuable for improvement of health care, policy making and many other purposes. Vast amount of such data are stored in different locations, on many different devices and in different data silos.… read more here.
Keywords: machine; federated machine; machine learning; intensive care ... See more keywords