Federated Learning Technology Explained: Google’s use case [Part II]
We continue to discuss Federated Learning technology and its applications. Check out the first part here where we highlighted FL basics. This part is focusedRead More »
Federated Learning Technology Explained: Google’s use case [Part I]
As of July 2020, 4.78 billion people in the world own smartphones. The number of IoT devices on the planet reached 26.66 billion at theRead More »
Privacy-aware Machine Learning: How To Train ML Models in a Remote Environment [Part II]
We are continuing our sequence of articles with practical suggestions on how to build machine learning models without compromising user privacy. In the first articleRead More »
Privacy-aware Machine Learning [Part I]: Data Access Protocols
Data privacy issues are among the hottest topics with the most active research in the machine learning space. This is not surprising, since almost everyRead More »
