Networked Signal and Information Processing
Signal Processing
2023-08-02 v2 Distributed, Parallel, and Cluster Computing
Machine Learning
Multiagent Systems
Optimization and Control
Abstract
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 offering the potential for improved privacy, increasing resilience, and saving resources.
Keywords
Cite
@article{arxiv.2210.13767,
title = {Networked Signal and Information Processing},
author = {Stefan Vlaski and Soummya Kar and Ali H. Sayed and José M. F. Moura},
journal= {arXiv preprint arXiv:2210.13767},
year = {2023}
}