With the increasing scale of machine learning tasks, it has become essential to reduce the
communication between computing nodes. Early work on gradient compression focused on …

Developments in communication and data storage technologies have made large-scale
data collection more accessible than ever. The transformation of this data into insight or …

Innovations in numerical optimization, statistics and high performance computing have
enabled tremendous advances in machine learning algorithms, fuelling applications from …