[vkkhare]

Edge computing for machine learning. Instead of running ML models on the cloud, I train them on user's device, ask these devices to offload computation between each other and give me the best performance out there. One good example is recommendations that work offline for you. Imagine you are listening to spotify in offline mode (with you downloaded playlist) and recommendations adapt accordingly even without internet!

I built out the library for these myself, checkout https://github.com/NimbleEdge/RecoEdge

[derbOac]

Nice!

I've often wondered about decentralized recommendation systems and ML. Good to see something going in this area.

[vkkhare]

you can find many such people in our discord server https://nimbleedge.ai/discord

We all care about how our data is used and processed.