LISA: LIghtweight single-server Secure Aggregation with a public source of randomness. (arXiv:2308.02208v1 [cs.CR])

Secure Aggregation (SA) is a key component of privacy-friendly federated
learning applications, where the server learns the sum of many user-supplied
gradients, while individual gradients are kept private. State-of-the-art SA
protocols protect individual inputs with zero-sum random shares that are
distributed across users, have a per-user overhead that is logarithmic in the
number of users, and take more than 5 rounds of interaction. In this paper, we
introduce LISA, an SA protocol that leverages a source of public randomness to …

aggregation applications art distributed federated learning inputs key privacy private protect protocols public random randomness server single state