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 »
Which Python Coders Will Transform AI’s Future?
“He was spoilt from childhood by the Future, which he mastered rather early and apparently without great difficulty.” When we think of developers in AI,Read 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 »
