Storage medium, machine learning device, and machine learning method

A machine learning device comprising:

• one or more memories;
• and
• one or more processors coupled to the one or more memories and the one or more processors configured to:
• in distributed machine learning in which a plurality of workers perform by using a plurality of pieces of divided data obtained by dividing training data in parallel,
• when performance of one or more first workers of the plurality of workers degrades,
• determine that first calculation results of the first workers are not reflected in the machine learning, and
• cause second workers of the plurality of workers to perform the machine learning,
• predict second calculation results of the first workers based on third calculation results of the second workers, and
• perform the machine learning by using the third calculation results and the predicted second calculation results.

A machine learning method for a computer to execute a process comprising:

• in distributed machine learning in which a plurality of workers perform by using a plurality of pieces of divided data obtained by dividing training data in parallel,
• when performance of one or more first workers of the plurality of workers degrades,
• determining that first calculation results of the first workers are not reflected in the machine learning, and
• causing second workers of the plurality of workers to perform the machine learning;
• predicting second calculation results of the first workers based on third calculation results of the second workers;
• and
• performing the machine learning by using the third calculation results and the predicted second calculation results.