Distributed error correction code for edge device machine learning models

An information handling system, comprising:

• a processor;
• and
• a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution cause the processor to:
• in response to detecting a connection to an edge device, determine, a last audit date of a machine learning model;
• determine whether the last audit date exceeds an audit threshold;
• and
• in response to a determination that the last audit date exceeds the audit threshold, apply an error correction code to the machine learning model.

A non-transitory computer-readable medium to store instructions that are executable to perform operations comprising:

• in response to connecting to an edge device, determining a last audit date of a language model;
• determining whether the last audit date exceeds an audit threshold;
• and
• in response to determining that the last audit date exceeds the audit threshold, applying an error correction code to the language model.