A Privacy-Preserving Data Utilization Protocol
Smart contract blockchain
Joyce Ji - Marketing and Media
Covalent network data and models are confidential. The 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).
Covalent 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.
The Covalent smart contract scales massively through off-chain computation. Covalent separates consensus from smart contract execution and performs massively parallel execution of smart contracts. The computational power of the Covalent network is the sum of that of all its nodes.
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