AI-based input output expansion adapter for a telematics device and methods for updating an AI model thereon

A telematics system, comprising:

• a telematics server;
• a network;
• a first telematics device in communication with the telematics server over the network;
• a first input/output (I/O) expansion adapter coupled to the first telematics device, the first I/O expansion adapter having a first memory and a first controller;
• a first I/O expander coupled to the first I/O expansion adapter;
• a second telematics device in communication with the telematics server over the network;
• a second I/O expansion adapter coupled to the second telematics device, the second I/O expansion adapter having a second memory and a second controller;
• and
• a second I/O expander coupled to the second I/O expansion adapter;
• wherein:
• the first I/O expansion adapter trains, by the first controller, a first machine-learning model residing in the first memory using:
• model input data comprising a first raw I/O expansion data from the first I/O expander, and
• a known output label corresponding to the model input data, the known output label comprising asset data from the first telematics device;
• in response to detecting an improvement of the first machine-learning model, the first I/O expander sends a federated learning focused update to the telematics server;
• the telematics server improves an output label prediction certainty of a centralized machine-learning model based on the focused update;
• the telematics server determines an increase in the output label prediction certainty over a prior predicted output label certainty of the centralized machine-learning model;
• and
• the telematics server sends, over the network, a machine-learning model update to the second I/O expansion adapter in response to determining that the increase in the output label prediction certainty is greater than an output label prediction increase threshold of the centralized machine-learning model;
• the second controller of the second I/O expansion adapter updates a second machine-learning model residing in the second memory using the machine-learning model update sent by the telematics server;
• and
• the second I/O expansion adapter generates processed output data based on a second raw I/O expansion data received from the second I/O expander, using the second machine-learning model.