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

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.