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Add a method to validate result produced by workers #12
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Another approach is to: |
public key validation is the way to go. It's a wip for now |
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The distributed version of the algorithm receives results from the workers without validating their work. This is safe when one has control of all the instances running the worker nodes but it is dangerous when one shares the queue of jobs on the internet.
When opening the genetic algorithm to the world, a malicious user may return a fake metric claiming to have trained the model using k-fold cross validation, corrupting the overall result of the parameter tuning.
Some options to prevent this from happening are to:
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