Blockchain architecture based on machine learning competition
A machine learning and blockchain technology, applied in the blockchain field, can solve problems such as waste of resources and achieve the effect of easy sharing
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[0090] The technical solutions provided by the present invention will be described in detail below in conjunction with specific embodiments.
[0091] Such as figure 1 As shown, the architecture involved in the present invention involves nodes with three different identities:
[0092] 1) The task issuer is responsible for hosting the machine learning competition;
[0093] 2) model trainer, responsible for training and submitting models for any available tasks;
[0094] 3) Model validators, who evaluate models against test data, reach consensus on winning models and rankings, and add new blocks to the blockchain.
[0095] After the node is registered, the task publisher node first sends a new task request to the blockchain, and the blockchain adds the new task to the task list. Secondly, the model trainer node checks the task list, selects the task to carry out machine learning locally, and uploads the model to the blockchain after the training is completed. Thereafter, the ...
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