Paper 2026/059
Heli: Heavy-Light Private Aggregation
Abstract
This paper presents Heli, a system that lets a pair of servers collect aggregate statistics about private client-held data without learning anything more about any individual client's data. Like prior systems, Heli protects client privacy against a malicious server, protects correctness against misbehaving clients, and supports common statistical functions: average, variance, and more. Heli's innovation is that only one of the servers (the "heavy server") needs to do per-run work proportional to the number of clients; the other server (the "light server") does work sublinear in the number of clients, after a one-time setup phase. As a result, a computationally limited party, such as a low-budget non-profit, could potentially serve as the second server for a Heli deployment with millions of clients. Heli relies on a new cryptographic primitive, aggregation-only encryption, that allows computing certain restricted functions on many clients' encrypted data. In a deployment with ten million clients, in which the servers privately compute the sum of 32 client-held 1-bit integers, Heli's heavy server does 240,000 core-s of work and the light server does 7 core-ms of work. Compared with prior work, the heavy server does 38$\times$ more computation, but the light server does 120,000$\times$ less.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Published elsewhere. USENIX Security '26
- Keywords
- private aggregation
- Contact author(s)
-
ryanleh @ mit edu
henrycg @ csail mit edu
edauterman @ cs stanford edu
dwu4 @ cs utexas edu - History
- 2026-01-15: approved
- 2026-01-15: received
- See all versions
- Short URL
- https://ia.cr/2026/059
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2026/059,
author = {Ryan Lehmkuhl and Henry Corrigan-Gibbs and Emma Dauterman and David J. Wu},
title = {Heli: Heavy-Light Private Aggregation},
howpublished = {Cryptology {ePrint} Archive, Paper 2026/059},
year = {2026},
url = {https://eprint.iacr.org/2026/059}
}