Latency Aware Distributed ADMM over Networks

Abstract Methods based on the alternating direction method of multipliers (ADMM) has attracted academic attention because its excellent convergence performance and potential application scenarios in many machine learning or optimization fields. However, classical distributed ADMM algorithm assumed ideal network communication, which do not consider impact delay computing performance. In this paper, strategy selecting bridges with lowest latency appropriate iterative process, we propose a aware to alleviate delay. The proposed are tested compared real scenarios. Experiments show that reduces running time improves Especially networks large delay, effect is more obvious.