Qi Zheng
Senior Technologist, Ant Group
He has many years of experience in Linux kernel, platform BSP, edge computing and big data application development in chip companies. Currently, he is the core developer of Occlum, a confidential computing operating system in Ant Group's Trusted Secure Computing team, and is committed to the development and promotion of the confidential computing ecosystem, especially in the areas of privacy and big data, and distributed confidential computing. Translated with DeepL.com (free version)
Topic
Confidential Computing Enables Full Lifecycle Security for Large Model Applications
Ant dense state spatio-temporal computing platform for the first time the combination of spatio-temporal data and privacy computing, the full dense state using ant remote sensing large model to generate remote sensing spatio-temporal data, and then through joint modelling with agricultural spatio-temporal data, the formation of farmers planting points and other agricultural credit available assessment indicators, to produce a more accurate agricultural financial credit indicators, and effectively solved the problem of assessment of the land cultivation of the agricultural household loans at the time of the point of the land planting situation, and provided solutions for the large-scale of the three agricultural industries. Provides a solution for the large-scale credit granting of the three rural industries. As a TEE base for dense computing, Ant Confidential Computing guards the security of the whole life (transmission, storage, and use) of the Ant big model and achieves worry-free output of the big model. It provides a practical reference path for the commercial landing of large models.
