PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning
We explore a scheme that enables the training of a deep neural network in a Federated Learning configuration over an additive white Gaussian noise channel. The goal is to create a low complexity, linear compression strategy, called PolarAir, that reduces the size of the gradient at the user side to …