MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference. (arXiv:2209.13643v1 [cs.CR])

Multi-party computing (MPC) has been gaining popularity over the past years
as a secure computing model, particularly for machine learning (ML) inference.
Compared with its competitors, MPC has fewer overheads than homomorphic
encryption (HE) and has a more robust threat model than hardware-based trusted
execution environments (TEE) such as Intel SGX. Despite its apparent
advantages, MPC protocols still pay substantial performance penalties compared
to plaintext when applied to ML algorithms. The overhead is due to added
computation and communication costs. …

machine machine learning party pipeline