Information processing apparatus, information processing method, storage medium, and system for federated learning

An information processing method comprising:

• acquiring an input image;
• storing an inference model and a local inference parameter to be applied to the inference model, and acquiring an inference result from the inference model by inputting the acquired input image to the inference model to which the local inference parameter is applied;
• acquiring, from a user, correction information representing a correction result the inference result;
• and
• executing a learning process on the inference model based on the input image and the correction information.

A non-transitory computer-readable storage medium having stored thereon a program for causing a computer to function as:

• an input unit configured to acquire an input image;
• an inference unit configured to store an inference model and a local inference parameter to be applied to the inference model, and acquire an inference result from the inference model by inputting the acquired input image to the inference model to which the local inference parameter is applied;
• a reception unit configured to acquire, from a user, correction information representing a correction result that corrects the inference result;
• and
• a learning unit configured to execute a learning process on the inference model based on the input image and the correction information.

A system comprising:

• an information processing apparatus comprising:
• at least one processor;
• and
• at least one memory having instructions stored therein which, when executed by the at least one processor, cause the information processing apparatus to:
• acquire an input image;
• store an inference model and a local inference parameter to be applied to the inference model, and acquire an inference result from the inference model by inputting the acquired input image to the inference model and applying the local inference parameter;
• acquire, from a user, correction information representing a correction result that corrects the inference result;
• and
• execute a learning process on the inference model based on the input image and the correction information;
• and
• an external apparatus including at least one processor configured to:
• receive local inference parameters from the information processing apparatus and from one or more additional information processing apparatuses;
• integrate the received local inference parameters to generate an updated global inference parameter;
• and
• transmit the updated global inference parameter to the information processing apparatuses.