Decentralized Conditional Gradient Method on Time-Varying Graphs.

In this paper, we consider a generalization of the decentralized Frank–Wolfe algorithm to time-varying networks, investigate the convergence properties of the algorithm, and carry out the corresponding numerical experiments. The time-varying network is modeled as a deterministic or stochastic sequence of graphs. [ABSTRACT FROM AUTHOR]