TAPFed introduces a threshold functional encryption scheme that lets federated learning aggregate encrypted model updates across multiple independent aggregators while tolerating up to t-1 malicious ones.
Inverting gradients-how easy is it to break privacy in federated learning?
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TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
TAPFed introduces a threshold functional encryption scheme that lets federated learning aggregate encrypted model updates across multiple independent aggregators while tolerating up to t-1 malicious ones.