CPC G06F 18/2148 (2023.01) [G06F 18/2178 (2023.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A method for data processing, comprising:
receiving, at an edge device, new data for training a model, the edge device having stored distilled data used to represent historical data to train the model, the historical data being stored in a remote device, and the amount of the historical data being greater than the amount of the distilled data; and
training the model based on the new data and the distilled data.
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