2019
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization
AISTATS 2019poster
In this paper, we focus on the continuous DR-submodular maximization over a network. By using the gradient tracking technique, two decentralized algorithms are proposed for deterministic and stochastic settings, respectively. The proposed methods attain the $\epsilon$-accuracy tight approximation ra…