Before revision: Communication compression techniques are of growing interests in studying the decentralized optimization problem under limited communication, where the global objective is to minimize the average of local cost functions over networked agents using only local computation and peer-to-peer communication.
After revision: Communication compression techniques are of growing interests in studying the decentralized optimization problem under limited communication, where the global objective is to minimize the average of local cost functions over a multi-agent network using only local computation and peer-to-peer communication.