Paper Accepted to Information and Inference: A Journal of the IMA

Our paper “Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor” ( arXiv:2002.08958), joint work with Mher Safaryan and Peter Richtárik, was accepted to Information and Inference: A Journal of the IMA.