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Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …
management in the healthcare industry to improve the clinical services. Various private and …
A systematic review of federated learning: Challenges, aggregation methods, and development tools
Since its inception in 2016, federated learning has evolved into a highly promising decentral-
ized machine learning approach, facilitating collaborative model training across numerous …
ized machine learning approach, facilitating collaborative model training across numerous …
Synthetic Data--what, why and how?
This explainer document aims to provide an overview of the current state of the rapidly
expanding work on synthetic data technologies, with a particular focus on privacy. The …
expanding work on synthetic data technologies, with a particular focus on privacy. The …
Meaningful measures of human society in the twenty-first century
Science rarely proceeds beyond what scientists can observe and measure, and sometimes
what can be observed proceeds far ahead of scientific understanding. The twenty-first …
what can be observed proceeds far ahead of scientific understanding. The twenty-first …
Challenges of blockchain in new generation energy systems and future outlooks
Recently, the blockchain technology has attracted widespread attention due to its
advantageous features, eg, decentralization, transparency, traceability, and immutability. To …
advantageous features, eg, decentralization, transparency, traceability, and immutability. To …
Privacy-preserving generative deep neural networks support clinical data sharing
Background: Data sharing accelerates scientific progress but sharing individual-level data
while preserving patient privacy presents a barrier. Methods and Results: Using pairs of …
while preserving patient privacy presents a barrier. Methods and Results: Using pairs of …
Auditing for discrimination in algorithms delivering job ads
Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through
their targeted advertising. However, multiple studies have shown that ad delivery on such …
their targeted advertising. However, multiple studies have shown that ad delivery on such …
Privacy loss in apple's implementation of differential privacy on macos 10.12
In June 2016, Apple announced that it will deploy differential privacy for some user data
collection in order to ensure privacy of user data, even from Apple. The details of Apple's …
collection in order to ensure privacy of user data, even from Apple. The details of Apple's …
[HTML][HTML] Privacy-preserving federated learning for residential short-term load forecasting
With high levels of intermittent power generation and dynamic demand patterns, accurate
forecasts for residential loads have become essential. Smart meters can play an important …
forecasts for residential loads have become essential. Smart meters can play an important …
A review of homomorphic encryption for privacy-preserving biometrics
The advancement of biometric technology has facilitated wide applications of biometrics in
law enforcement, border control, healthcare and financial identification and verification …
law enforcement, border control, healthcare and financial identification and verification …