Distributed learning promises great potential to facilitate big data for medical application ... safeguards to solve the governance problem. In this article we explore how privacy-preserving ...

In its GTC event this week, Nvidia made a number of related points, aiming to build on machine learning and extend to data science ... you can solve your problem on a non-distributed system ...

First, it is crucial to acknowledge that medical data—like ... point with the machine learning revolution, where decisions made now will reverberate for decades to come. From bias and fairness to ...

MPI (Message Passing Interface) is the de facto standard distributed communications ... Training a machine learning algorithm to accurately solve complex problems requires large amounts of data.

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

“We would say that there is abundant research now showing ethical problems and social harms that can arise from data misuse in machine learning … Scientists like data, so we think if we can ...

the machine learning models need to be frequently retrained using updated data, which are often distributed across data sources with unreliable or poor connections.” According to the researchers ...