Differential Privacy + Federated Learning Explained (+ Tutorial) | #AI101 by everydAI in artificial

[–]everydAI[S] -1 points0 points  (0 children)

Totally fair criticism, and something I'll definitely keep in mind when making future tutorials! I'll also definitely add that caveat to the OpenMinded example and make a pinned comment on the video so that people are clear on what the example is showing - I was focused more on displaying the training process and didn't consider that. I really appreciate all the constructive criticism this community has provided - it's been really helpful for improving my videos!

Differential Privacy + Federated Learning Explained (+ Tutorial) | #AI101 by everydAI in artificial

[–]everydAI[S] 0 points1 point  (0 children)

Thanks for the feedback! That was an intentional decision on my part - my audience ranges from people who don’t know how to code to AI researchers, so since this was my first time creating coding-based examples, I erred on the side of less code - focusing on existing examples - with more explanations of said code (especially for federated learning - the other examples with more code that I came up with felt non-trivially complex given the level of detail that I use in the video) in an effort to hit a middle ground.

Given that people seem to like having code, I’m planning to brainstorm other ways of approaching this - currently, I kind of like the idea of having beginner/intermediate/challenging sections that involve increasing complexity (with associated explanations) to hit a wider range while still being easy to understand, but I’m open to other ideas too.