Distributed Optimization: Advances in Theories, Methods, and Applications

Introduction.- Convergence of Distributed Accelerated Algorithm over Unbalanced Directed Networks.- Geometrical Convergence Rate for Distributed Optimization with Time-Varying Directed Graphs and Uncoordinated Step-Sizes.- Distributed Constrained Optimization over Unbalanced Directed Networks Using Asynchronous Broadcast-Based Algorithm.- Distributed Consensus Optimization in Multi-Agent Networks with Time-Varying Directed Topologies and Quantized Communication.- Event-Triggered Communication and Data Rate Constraint for Distributed Optimization of Multi-Agent Systems.- Random Sleep Scheme Based Distributed Optimization Algorithm over Unbalanced Time-Varying Networks.- Edge-Based Stochastic Gradient Algorithm for Distributed Optimization.- Distributed Robust Algorithm for Economic Dispatch in Smart Grids over General Unbalanced Directed Networks.- Distributed Event-Triggered Scheme for Economic Dispatch in Power Systems with Uncoordinated Step-Sizes.