A survey on federated learning systems: Vision, hype and reality for data privacy and protection
As data privacy increasingly becomes a critical societal concern, federated learning has
been a hot research topic in enabling the collaborative training of machine learning models …
been a hot research topic in enabling the collaborative training of machine learning models …
[HTML][HTML] Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
Objectives Patient representation learning refers to learning a dense mathematical
representation of a patient that encodes meaningful information from Electronic Health …
representation of a patient that encodes meaningful information from Electronic Health …
Federated machine learning: Concept and applications
Today's artificial intelligence still faces two major challenges. One is that, in most industries,
data exists in the form of isolated islands. The other is the strengthening of data privacy and …
data exists in the form of isolated islands. The other is the strengthening of data privacy and …
[图书][B] Data mining and machine learning in cybersecurity
S Dua, X Du - 2016 - books.google.com
From basic concepts in machine learning and data mining to advanced problems in the
machine learning domain, this book provides a unified reference for specific machine …
machine learning domain, this book provides a unified reference for specific machine …
[图书][B] A general survey of privacy-preserving data mining models and algorithms
CC Aggarwal, PS Yu - 2008 - Springer
In recent years, privacy-preserving data mining has been studied extensively, because of
the wide proliferation of sensitive information on the internet. A number of algorithmic …
the wide proliferation of sensitive information on the internet. A number of algorithmic …
[HTML][HTML] Privacy-preserving patient similarity learning in a federated environment: development and analysis
Background: There is an urgent need for the development of global analytic frameworks that
can perform analyses in a privacy-preserving federated environment across multiple …
can perform analyses in a privacy-preserving federated environment across multiple …
Privacy-preserving patient-centric clinical decision support system on naive Bayesian classification
Clinical decision support system, which uses advanced data mining techniques to help
clinician make proper decisions, has received considerable attention recently. The …
clinician make proper decisions, has received considerable attention recently. The …
A review on federated learning towards image processing
Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …
provides an overview of how Federated Learning can be used to improve data security and …
Privacy-preserving multi-class support vector machine for outsourcing the data classification in cloud
Y Rahulamathavan, RCW Phan… - … on Dependable and …, 2013 - ieeexplore.ieee.org
Emerging cloud computing infrastructure replaces traditional outsourcing techniques and
provides flexible services to clients at different locations via Internet. This leads to the …
provides flexible services to clients at different locations via Internet. This leads to the …
Forecasting the EV charging load based on customer profile or station measurement?
In this paper, forecasting of the Electric Vehicle (EV) charging load has been based on two
different datasets: data from the customer profile (referred to as charging record) and data …
different datasets: data from the customer profile (referred to as charging record) and data …