online-training:
Re-training the models to update it's weights for any new dataset introduced after the previous deployment. Based on certain threshold, we can decide when to re-train the model.

It's mainly application for scenarios that involve streaming/sequential data sets that are made available over time. E.g. Facial Recognition or Retails usecases for a new Fashion segments.