Recent advances on distributed online optimization

• 作者: Xiuxian Li
• 来源期刊: 控制理论与技术（英文版）
• 年，卷（期）: 2021,（1）
• 所属期刊栏目: LETTER
• 页码范围: 153-156
• 页数: 4页
• 语种: 英文

摘要

Online optimization has received numerous attention in recent two decades,mostly inspired by its potential applica-tions to auctions,smart grids,portfolio management,dic-tionary learning,neural networks,and so on[1-4].Gener-ally,online optimization is a sequence of decision making processes,where a sequence of time-varying loss functions are gradually revealed in a dynamic environment which may be adversarial.