What is asynchronous SGD?

In 2012, Dean et al. (2012) presented their approach for a distributed stochastic gradient descent algorithm. Since each worker communicates with the parameter servers independently of the others, this is called Asynchronous Stochastic Gradient Descent (or Async-SGD).

What is SGD method?

Stochastic Gradient Descent (SGD) is a simple yet very efficient approach to fitting linear classifiers and regressors under convex loss functions such as (linear) Support Vector Machines and Logistic Regression. The advantages of Stochastic Gradient Descent are: Efficiency.

What is asynchronous stochastic gradient descent?

Asynchronous Stochastic Gradient Descent (ASGD) is widely adopted to fulfill this task for its efficiency, which is, however, known to suffer from the problem of delayed gradients. We propose a novel technology to compensate this delay, so as to make the optimization behavior of ASGD closer to that of sequential SGD.

What country is SGD?

Singapore
Singapore dollar/Countries

What are the advantages and disadvantages of asynchronous learning?

Success in an asynchronous learning environment requires of employees to be both strongly committed and disciplined, which can be a huge disadvantage for those who are not exactly highly self-motivated. Knowing the advantages and disadvantages of asynchronous learning can help you determine whether it is ideal for your future online training plans.

Can asynchronous parallelization of SGD be integrated with each other?

Furthermore, in order to improve the training speed and/or leverage larger-scale training data, asynchronous parallelization of SGD has also been studied. Then, a natural question is whether these techniques can be seamlessly integrated with each other, and whether the integration has desirable theoretical guarantee on its convergence.

What is asynchronous accelerated stochastic gradient descent?

Asynchronous Accelerated Stochastic Gradient Descent. Stochastic gradient descent (SGD) is a widely used optimization algorithm in machine learning.

What is asynchronous online training?

Online training in an asynchronous online environment means that the full responsibility of learning falls on the shoulders of employees; they are the ones who have maximum control over how, when, and where learning happens. But is learning at one’s own pace the ideal online training experience?