Ali H. Sayed, Bicheng Ying, Kun Yuan
This paper studies the problem of learning under both large datasets and large-dimensional feature space scenarios. The feature information is assumed to be spread across agents in a network, where each agent observes some of the features. Through local co ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019