Early stopping halting training before overfitting sets in

Remember the correct answer, 'early stopping'.
・It halts training at the point when validation accuracy turns toward worsening.
・By stopping before overfitting advances, it curbs overfitting.
'Reducing the data' and 'training for longer' both worsen overfitting, and 'lowering latency' is unrelated to curbing overfitting.