All data and models on the Covalent network are confidential. The military-grade security and privacy provided by Trusted Execution Environment (TEE) are propagated throughout the entire computational network. Furthermore, Covalent’s scheduling system supports both High Throughput Computing (HTC) and Low-Latency Production (LLP). Users can train a Caffe RNN with the Apache Hadoop setup, or they can provide a pickled pre-trained L1 Regression for financial prediction as-a-service.
to participate follow the link: http://community.covalent.ai/aemvy
