[PDF][PDF] Privacy and transparency in learning systems for healthcare
APU Dieterlen - 2021 - researchgate.net
With the development of the Internet of Things (IoT), smartphones and sensors are now able
to provide information about the user's activity and even their physiology. This has led to a …
to provide information about the user's activity and even their physiology. This has led to a …
Privacy and transparency in learning systems for healthcare
T Jourdan - 2021 - theses.hal.science
With the development of the Internet of Things (IoT), smartphones and sensors are now able
to provide information about the user's activity and even their physiology. This has led to a …
to provide information about the user's activity and even their physiology. This has led to a …
Ensuring data privacy in healthcare with federated learning: challenges, solutions and implementation
A Molteni - 2022 - politesi.polimi.it
Immunotherapy has emerged as a promising treatment for lung cancer, but a patient's
response to this treatment varies significantly to the point its situation could worsen. To …
response to this treatment varies significantly to the point its situation could worsen. To …
[PDF][PDF] PRIVACY PRESERVING MACHINE LEARNING IN HEALTHCARE
L Lildholdt, CF Pedersen - 2021 - projekter.au.dk
PRIVACY PRESERVING MACHINE LEARNING IN HEALTHCARE Page 1 AARHUS
UNIVERSITY MASTER’S THESIS in COMPUTER ENGINEERING PRIVACY PRESERVING …
UNIVERSITY MASTER’S THESIS in COMPUTER ENGINEERING PRIVACY PRESERVING …
[PDF][PDF] How to provide high-utility time series data in a privacy-aware manner: A VAULT to manage time series data
Smart Services enrich many aspects of our daily lives, such as in the Ambient Assisted
Living (AAL) domain, where the well-being of patients is automatically monitored, and …
Living (AAL) domain, where the well-being of patients is automatically monitored, and …
Towards privacy engineering for real-time analytics in the human-centered internet of things
Big data applications offer smart solutions to many urgent societal challenges, such as
health care, traffic coordination, energy management, etc. The basic premise for these …
health care, traffic coordination, energy management, etc. The basic premise for these …
Towards Privacy-Aware Usage of Fitness Trackers and Smart Home Devices: Enhancing User Awareness in the GDPR Era Towards Privacy-Aware Usage of Fitness …
AA Dini Kounoudes - 2023 - gnosis.library.ucy.ac.cy
The popularity of IoT devices has increased the collection, sharing and processing of user
data. The enormous amount of data collected and shared among these devices has raised a …
data. The enormous amount of data collected and shared among these devices has raised a …
Anonymizing data for privacy-preserving federated learning
Federated learning enables training a global machine learning model from data distributed
across multiple sites, without having to move the data. This is particularly relevant in …
across multiple sites, without having to move the data. This is particularly relevant in …
Federated learning: An alternative approach to improving medical data privacy and security
While medical data is integral to building robust predictive machine learning models for
medical research, obtaining access to medical data is increasingly difficult. The challenges …
medical research, obtaining access to medical data is increasingly difficult. The challenges …
On the case of privacy in the IoT ecosystem: A survey
IoT has enabled the creation of a multitude of personal applications and services for a better
understanding of urban environments and our personal lives. These services are driven by …
understanding of urban environments and our personal lives. These services are driven by …