CREATING AND MANAGING MACHINE LEARNING MODELS IN A SHARED NETWORK ENVIRONMENT

摘要

A distributed system includes a model engine coupled to a data source storing training data and to a data source storing testing data. The model engine is being operated in accordance with a smart contract to enable entities to collaboratively produce a model based on the training data using blockchain infrastructure. Contributions of each entity are entered into a ledger of the blockchain as blocks. The model engine is configured to provide a model that utilizes the data based on criteria specified by an entity and configured to track and post changes to the model or data to a ledger of the blockchain according to the smart contract and configured to generate encrypted keys to enable the entities to exchange the tracked changes to the model or data and to exchange an updated model.