Chen, JianshuSayed, Ali H.2017-12-192017-12-192017-12-19201210.1109/SSP.2012.6319784https://infoscience.epfl.ch/handle/20.500.14299/143309We consider solving multi-objective optimization problems in a distributed manner over a network of nodes. The problem is equivalent to optimizing a global cost that is the sum of individual components. Diffusion adaptation enables the nodes to cooperate locally through in-network processing in order to approach Pareto-optimality. We analyze the mean-square-error performance of the diffusion strategy and show that, at steady-state, all nodes can be made to approach a Pareto-optimal solution.text::conference output::conference proceedings::conference paper