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Electrical Engineering and Systems Science > Signal Processing

arXiv:2210.13767 (eess)
[Submitted on 25 Oct 2022 (v1), last revised 18 Apr 2023 (this version, v2)]

Title:Networked Signal and Information Processing

Authors:Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
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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.
Subjects: Signal Processing (eess.SP); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Multiagent Systems (cs.MA); Optimization and Control (math.OC)
Cite as: arXiv:2210.13767 [eess.SP]
  (or arXiv:2210.13767v2 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2210.13767
Related DOI: https://doi.org/10.1109/MSP.2023.3267896

Submission history

From: Stefan Vlaski [view email]
[v1] Tue, 25 Oct 2022 04:57:34 UTC (1,514 KB)
[v2] Tue, 18 Apr 2023 15:22:44 UTC (9,769 KB)
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