Revolutionizing Industrial Collaboration: Optimizing Machine Learning for Secure Data Sharing
The article explores different ways to improve how machines learn without sharing sensitive data. By testing various methods to fine-tune machine learning settings, the researchers found that letting each machine adjust its own settings can be more efficient than having one set for all. They tested these methods on different types of data and found promising results.