What’s up on the internet in January?
Learning with Privacy at Scale
This one is taken from the Apple ML Journal. Basically, the article deals with local differential privacy which refers to the anonymization of personal data on the local computer directly, and not on the server (i.e., after the data have been uploaded). I was pleased to learn that everything is done in order to ensure that this does not impact the device bandwidth (I already know that we can opt in or not).
Here are some interesting links I keep opened in my web browser for a while in December.
How to Write a Git Commit Message
This is a well-known article regarding the annotation of your current work or contribution in a version control system. As I tend to work mostly alone, I don’t have a strong need for Git except that it helps me to keep a trace of my workflow and it is quite useful to archive different version or deliverable of my work.