According to this post on Apple's Machine Learning blog, yes, Wally is the method used for this feature.
https://machinelearning.apple.com/research/homomorphic-encry...
https://machinelearning.apple.com/research/homomorphic-encry...
> The client decrypts the reply to its PNNS query, which may contain multiple candidate landmarks. A specialized, lightweight on-device reranking model then predicts the best candidate…
[please correct me if I missed anything — this used to be my field, but I’ve been disabled for 10 years now, so grain of salt]
I mean, the Wally paper contains enough information to effectively implement homomorphic encryption for similar purposes. The field was almost entirely academic ~12 years ago…
I miss talking shop on HN. Comments like that are why we can’t have nice things.