Method and system for improving boot process of a memory using enhanced DFE training technique

A method for booting a memory device using a Decision Feedback Equalizer (DFE) training technique, the method comprising:

• predicting one or more DFE tap values based on a plurality of configuration parameters of the memory device;
• determining an accuracy level of the predicted one or more DFE tap values based on a signal processed using the predicted one or more DFE tap values and the signal processed using a set of comparative DFE tap values obtained from a trained machine learning (ML) model;
• and
• in response to the accuracy level of the predicted one or more DFE tap values being above an accuracy threshold value,
• setting a value of a prediction flag as TRUE,
• validating a plurality of eye margins of the signal processed using the predicted one or more DFE tap values,
• storing the predicted one or more DFE tap values based on results of the validation, and
• performing a subsequent boot process of the memory device using the predicted one or more DFE tap values.