Efficient database maching learning verification

A method, comprising:

• generating, by a training participant client comprising a training dataset, a plurality of transaction proposals that each correspond to a training iteration for machine learning model training related to stochastic gradient descent, the machine learning model training comprising a plurality of training iterations, the transaction proposals comprising a gradient calculation performed by the training participant client, a batch from the private dataset, a loss function, and an original model parameter;
• receiving, by one or more endorser nodes of peers of a blockchain network, the plurality of transaction proposals;
• and
• evaluating each transaction proposal.

A non-transitory computer readable medium comprising instructions, that when read by a processor, cause the processor to perform:

• generating, by a training participant client comprising a training dataset, a plurality of transaction proposals that each correspond to a training iteration for machine learning model training related to stochastic gradient descent, the machine learning model training comprising a plurality of training iterations, the transaction proposals comprising a gradient calculation performed by the training participant client, a batch from the private dataset, a loss function, and an original model parameter;
• receiving, by one or more endorser nodes of peers of a blockchain network, the plurality of transaction proposals;
• and
• evaluating each transaction proposal.