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 ...

The gradient descent algorithm is a type of optimization algorithm that is widely used to solve machine learning algorithm model parameters. Through continuous iteration, it obtains the gradient of ...

3 Distributed primal–dual hybrid gradient algorithm This section first introduces a distributed quantile regression framework and formulates our problem as a saddle-point optimization problem.