all AI news
MPCFormer: fast, performant and private Transformer inference with MPC. (arXiv:2211.01452v1 [cs.LG])
Nov. 4, 2022, 1:11 a.m. | Dacheng Li, Rulin Shao, Hongyi Wang, Han Guo, Eric P. Xing, Hao Zhang
cs.LG updates on arXiv.org arxiv.org
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 …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV
GN SONG MT Market Research Data Analyst 11
@ Accenture | Bengaluru, BDC7A