Paper 2026/2497 Original: eprint.iacr.org/2026/2497 ↗
SecAgg++: A Post-Quantum Privacy Preserving Federated Learning Protocol
Abstract
Secure aggregation is a fundamental building block for privacy-preserving federated learning, yet most existing masking-based secure aggregation protocols do not provide post-quantum security. In this work, we present SecAgg++, a masking-based post-quantum secure aggregation protocol for the single-server setting. SecAgg++ integrates post-quantum cryptographic primitives while preserving the communication and computational efficiency of classical frameworks such as SecAgg and SecAgg+, and supports client dropout handling through an efficient recovery procedure.
Metadata
- Available format(s)
PDF- Category
- Applications
- Publication info
- Preprint.
- History
- 2026-10-15: last updated
- 2026-10-15: published
- Short URL
- https://ia.cr/2026/2497
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2026/2497,
author = {Alessandro Perez and Giulia Cavicchioni and Silvio Cretti and Riccardo Longo and Alessandro Tomasi and Silvio Ranise},
title = {SecAgg++: A Post-Quantum Privacy Preserving Federated Learning Protocol},
howpublished = {Cryptology {ePrint} Archive, Paper 2026/2497},
year = {2026},
url = {https://eprint.iacr.org/2026/2497}
}