A non-classical estimate of the rate of convergence in the multidimensional central limit theorem which takes into account large deviations

In the paper, an estimate for the rate of convergence of sums of independent random vectors is obtained which is non-uniform and non-classical (i. e. it depends on the closeness of summand's distributions to the normal one). This estimate takes also into account the tail behaviour of summands' distributions.