In this paper, we focus on solving a distributed convex aggregative optimization problem in network, where each agent has its own cost function which depends not only decision variables but also the aggregated of all agents' variables. The variable is constrained within feasible set. order to minimize sum functions when knows local function, propose Frank–Wolfe algorithm based gradient tracking...

This paper presents a distributed hybrid algorithm that synchronizes the time and rate of set clocks connected over network. Clock measurements nodes are given at aperiodic instants controller each node uses these to achieve synchronization. Due continuous impulsive nature network, we introduce system model effectively capture dynamics proposed algorithm. Moreover, allows agent estimate skew it...