FUI claims to erase a client's data in differentially private federated learning by retracting the local model and adding calibrated Gaussian noise to mimic retraining.
Inverting gradients-how easy is it to break privacy in federated learning?
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Upcycling Noise for Federated Unlearning
FUI claims to erase a client's data in differentially private federated learning by retracting the local model and adding calibrated Gaussian noise to mimic retraining.