[synctext]

Thnx for writing! In academia we're getting the next step operational: training on Android. Any advise for us what to watch out for?

Obviously you need a bit of patience and lots of volunteer devices. With unsupervised continuous learning this is solved, in emulation. See "G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network" [1]. Optimal learning rate is left as an exercise for the developer. (disclaimer: our own work, I run a lab with "systems for peer-to-peer machine learning")

[1] https://arxiv.org/abs/2301.12530

[dnth]

You're welcome! I'm not sure if I'm the right person to advise on this. But this idea is also known as federated learning right?