How to achieve federated learning on two or more machines using FATE? #4410

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navjotmakkar asked this question in Q&A

navjotmakkar
Oct 31, 2022

On one node(machine), the data scientist will have the model.
On multiple nodes(machines), the data owner are present with their own set of data.
During training the data is fetched from all the client nodes and the model is trained at the data scientist node just like it is done with PySyft.

Is it feasible to accomplish this use case with FATE, and if so, how?

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