Innovative Personalized AI Model
CANDiY AI enhance personalization in three different ways
to create hyper-personalized AI models.
Personalized Foundation Models
We employ innovative class-wise federated averaging during foundation model creation, generating multiple models for each class. This ensures each device's unique characteristics are integrated, creating truly personalized foundation models.
Retraining Device Data
When deploying personalized foundation models to devices, we retrain them using the device's own data and feed the results back. This further personalizes the lightweight AI models applied to devices.
Sharing AI Parameters
As device data changes over time, we innovatively share AI parameters among users with similar profiles to update the personalized models. This allows us to understand the user's evolving situation and context more precisely.