Infinitely Divisible Noise in the Low Privacy Regime

Rasmus Pagh, Nina Mesing Stausholm

Federated learning, in which training data is distributed among users and never shared, has emerged as a popular approach to privacy-preserving machine learning. Cryptographic tech…