signSGD: Compressed Optimization for Non-Convex Problems File Structure FashionMNIST_logisticRegression.py: impelments signSGD on logistic Regression using Fashion MNIST dataset MNIST_signSGD.py: implements signSGD on neural network using MNIST Handwritten digits as dataset FashionMINST_signSGD.py: impements signSGD on neural network using MNIST Fashion as dataset hostfile: contains the maximum number of cores that our program need to be run on How to run To run FashionMNIST_logisticRegression.py python3 FashionMNIST_logisticRegression.py To run other two files mpirun --hostfile <hostfile_name> -np <no_of_cores> python3 <filename>.py Hostfile contents localhost slots=<maximum_no_of_cores_as_required>