Gustavo Banegas

Gustavo Banegas

Cryptography Researcher

Non-Interactive, Secure Verifiable Aggregation for Decentralized, Privacy-Preserving Learning

Published in In *Australasian Conference on Information Security and Privacy* (ACISP), 2021

We propose a non-interactive and secure verifiable aggregation protocol for decentralized, privacy-preserving learning. The scheme allows efficient aggregation of model updates without compromising user privacy and without requiring interaction during verification.