  A distributed discrete-time algorithm is proposed for multi-agent networks to
achieve a common least squares solution of a group of linear equations, in
which each agent only knows some of the equations and is only able to receive
information from its nearby neighbors. For fixed, connected, and undirected
networks, the proposed discrete-time algorithm results in each agents solution
estimate to converging exponentially fast to the same least squares solution.
Moreover, the convergence does not require careful choices of time-varying
small step sizes.

Systems and Control;Distributed, Parallel, and Cluster Computing;Optimization and Control