Fig. 8

The proposed DF–GDA introduces a blockwise dynamic fractional parameter update method to update a fraction of the parameters in each iteration, covering all the model’s parameters and data samples in an epoch, making it more efficient than the traditional optimization algorithms that update all the parameters.