This is a working research note, not a claim that one architecture wins in every case. I am evaluating where on-device inference meaningfully improves a wardrobe product and where cloud infrastructure remains the more practical choice.
Questions
- Which wardrobe tasks need instant offline feedback?
- What data should never need to leave the device?
- How much model quality is worth trading for lower latency?
- How should model updates work across iOS and Android?
I will update this note as experiments produce results worth publishing.