Most implementations of stochastic gradient descent (SGD) rely on floating points.Is there implementations using infinite or finite precision integer arithmetics ?
Stochastic Gradient Descent with integer arithmetics
optimization;machine learning
see eg Neural network training with constrained integer weightsPlagianakos, V.P.;   Vrahatis, M.N.;  An Integer Recurrent Artificial Neural Networkfor Classifying Feature Vectors Roelof K Brouwer PEng, Phthe general idea in various implementations is to represent/approximate real numbers $x \in[0..1]$ as integers in the form $x \cdot 10^m$ where $m$ is some integer exponent.