Secure Distributed Learning

AbstractLike the common setting of cooperative learning, each participant securely maintains a private dataset on its local device. All participants want to jointly train a global machine learning model on the union of all their dataset, such that they can make full use of the advantage of each dataset. Maybe, they need a central server to coordinate the learning task in a high-efficient way.