mlsanityData to 14 Oct 2026

OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols

arXiv 2302.10084 ↗First posted 20 Feb 2023cs.CRcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Feb 2023.

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Citing papers per year: 2024: 1; 2025: 0; 2026: 1.

2 papers.