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This is the first time I am learning about model unlearning. I hope someone can answer this for me - how does federated learning ensure that model unlearning is not happening?



You prope the trained model, delete/kill the weights and than you are done.

On federated learning, you just make sure to keep this mechanism in the right stage of your pipeline




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