Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

This framework is very general, subsuming a great variety of algorithms in federated learning and distributed optimization. In particular, this framework allows each local agent to approximate and ...

In this paper we propose the fractional gradient descent for increasing the training and work of modern neural networks. This optimizer searches the global minimum of the loss function considering the ...

Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more) - lixilinx/psgd_torch ...