Year: 2024
Type: conference-paper
Abstract: Secure multi-party computation (SMPC) enables multiple parties to evaluate functions of their private inputs, in a way such that none of the parties can learn anything about the other parties' private input but what can be learned from their own input and its output of the function evaluation. There are various practical applications for SMPC with runtimes ranging from a few seconds to multiple days. The performance of a protocol typically depends on the number of parties, the problem size, and the network setting. Thus, evaluating the applicability and performance of an SMPC protocol requires extensive benchmarking in varying settings, which can be very time and resource consuming, especially in slow network settings.
Institution: RWTH Aachen University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Awards: G2757978615, G4465709535
OpenAlex ID: W4399477645