The article reviews significant advances in networked signal and information processing, which have enabled in the last 25 years extending decision making and inference, optimization, control, and learning to the increasingly ubiquitous environments of distributed agents. As these interacting agents cooperate, new collective behaviors emerge from local decisions and actions. Moreover, and significantly, theory and applications show that networked agents, through cooperation and sharing, are able to match the performance of cloud or federated solutions, while preserving privacy, increasing resilience, and saving resources.
翻译：文章回顾了网络信号和信息处理的重大进展,这些进展在过去25年中使决策及推断、优化、控制和学习得以扩展至分布剂日益普遍的环境。随着这些互动剂的合作,新的集体行为产生于当地的决定和行动。 此外,重要的是,理论和应用表明网络代理通过合作和共享能够与云层或联合解决方案的性能相匹配,同时保护隐私、增强复原力和节约资源。
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