COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a
pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020 …

Abstract Internet of Things (IoT) has revolutionized the digital world by connecting billions of
electronic devices over the internet. IoT devices play an essential role in the modern era …

With the advance of machine learning and the Internet of Things (IoT), security and privacy
have become critical concerns in mobile services and networks. Transferring data to a …

With more regulations tackling the protection of users' privacy-sensitive data in recent years,
access to such data has become increasingly restricted. A new decentralized training …

In this paper, we address the problem of privacy-preserving training and evaluation of neural
networks in an $ N $-party, federated learning setting. We propose a novel system …

Many organizations wish to collaboratively train machine learning models on their combined
datasets for a common benefit (eg, better medical research, or fraud detection). However …

Using real-world evidence in biomedical research, an indispensable complement to clinical
trials, requires access to large quantities of patient data that are typically held separately by …

We propose and evaluate a secure-multiparty-computation (MPC) solution in the semi-
honest model with dishonest majority that is based on multiparty homomorphic encryption …

In this paper, we address the problem of privacy-preserving distributed learning and the
evaluation of machine-learning models by analyzing it in the widespread MapReduce …

With the massive deployment of the Internet of Things (IoT) devices, many data analysis
applications emerge for the large amount of data accumulated by IoT. Federated learning …