LightDP-FL adds cancelable pairwise and individual Gaussian noise to federated learning updates, giving differential privacy without secure multi-party computation while tolerating stragglers.
PrivateFL: Accurate, differentially private federated learning via personalized data transfor- mation,
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Lightweight Federated Learning with Differential Privacy and Straggler Resilience
LightDP-FL adds cancelable pairwise and individual Gaussian noise to federated learning updates, giving differential privacy without secure multi-party computation while tolerating stragglers.