  In networks of autonomous agents (e.g., fleets of vehicles, scattered
sensors), the problem of minimizing the sum of the agents' local functions has
received a lot of interest. We tackle here this distributed optimization
problem in the case of open networks when agents can join and leave the network
at any time. Leveraging recent online optimization techniques, we propose and
analyze the convergence of a decentralized asynchronous optimization method for
open networks.
