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Had to look it up, this seems to be the paper https://research.google/pubs/federated-learning-for-mobile-keyboard-prediction-2/ https://research.google/pubs/fed
by antman 2y ago
Had to look it up, this seems to be the paper https://research.google/pubs/federated-learning-for-mobile-keyboard-prediction-2/ https://research.google/pubs/federated-learning-for-mobile-k...
- 1oooqooq 2y agothey have a very "interesting" definition of private data on the paper. it's so outlandish that if you buy their definition, there's zero value on the trained data. heh. they also claim unsuppervisioned users typing away is better than tagged training data, which explain the wild grammar suggestions on the top comment. guess the age of quantity over quality is finally peaking. in the end it's the same as grammarly but without any verification of the interested data, and calling the collection of user data "federation"
- nthingtohide 2y agoactually letting users type whatever they want is good because they are many dialects of english : chinglish, thailish, singlish, hinglish and so on. they have made the system so general that it can handle any quirk users throw at it.