MPCFormer: fast, performant and private Transformer inference with MPC. (arXiv:2211.01452v1 [cs.LG])

Enabling private inference is crucial for many cloud inference services that
are based on Transformer models. However, existing private inference solutions
for Transformers can increase the inference latency by more than 60x or
significantly compromise the quality of inference results. In this paper, we
design the framework MPCFORMER using secure multi-party computation (MPC) and
Knowledge Distillation (KD). It can be used in tandem with many specifically
designed MPC-friendly approximations and trained Transformer models. MPCFORMER
significantly speeds up Transformer model inference …

fast