Recent secure aggregation protocols enable privacy-preserving federated learning for high-dimensional models among thousands or even millions of participants. Due to the scale of these use cases, however, end-to-end empirical evaluation of these protocols is impossible. We present OLYMPIA, a framework for empirical evaluation of secure protocols via simulation. OLYMPIA. provides an embedded domain-specific language for defining protocols, and a simulation framework for evaluating their performance. We implement several recent secure aggregation protocols using OLYMPIA, and perform the first empirical comparison of their end-to-end running times. We release OLYMPIA as open source.
@article{arxiv.2302.10084,
title = {OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols},
author = {Ivoline C. Ngong and Nicholas Gibson and Joseph P. Near},
journal= {arXiv preprint arXiv:2302.10084},
year = {2024}
}