Distributed stochastic gradient descent (SGD) has attracted considerable recent attention due to its potential for scaling computational resources, reducing training time, and helping protect user ...

For the proposed objective function, the alternating direction method of multipliers integrates with the gradient descent algorithm is used to alternately optimize the objective function and the ...