mlsanityData to 14 Oct 2026

Networked Signal and Information Processing

arXiv 2210.13767 ↗First posted 25 Oct 2022eess.SP cs.DC cs.LGcited by 10

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 32 of its 92 references that are in the map. First posted on arXiv 25 Oct 2022.

Builds on

32 of 92 references.

References · 32

  1. 2019Advances and Open Problems in Federated Learningcited by 3,046
  2. 2017Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descentcited by 502
  3. 2017Graph Signal Processing: Overview, Challenges and Applicationscited by 413
  4. 2015Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decompositioncited by 243
  5. 2014EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimizationcited by 160
  6. 2016Achieving Geometric Convergence for Distributed Optimization over Time-Varying Graphscited by 150
  7. 2018D2: Decentralized Training over Decentralized Datacited by 140
  8. 2016NEXT: In-Network Nonconvex Optimizationcited by 107
  9. 2013Distributed optimization over time-varying directed graphscited by 78
  10. 2013On the Linear Convergence of the ADMM in Decentralized Consensus Optimizationcited by 57
  11. 2017A decentralized proximal-gradient method with network independent step-sizes and separated convergence ratescited by 51
  12. 2019On the Influence of Bias-Correction on Distributed Stochastic Optimizationcited by 34
20 more
  1. 2020Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learningcited by 26
  2. 2013On the Learning Behavior of Adaptive Networks - Part I: Transient Analysiscited by 20
  3. 2019Decentralized Proximal Gradient Algorithms with Linear Convergence Ratescited by 19
  4. 2015DSA: Decentralized Double Stochastic Averaging Gradient Algorithmcited by 14
  5. 2017Exact Diffusion for Distributed Optimization and Learning --- Part II: Convergence Analysiscited by 14
  6. 2019Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Pointscited by 13
  7. 2018Learning over Multitask Graphs -- Part I: Stability Analysiscited by 12
  8. 2022Decentralized Stochastic Optimization with Inherent Privacy Protectioncited by 11
  9. 2018Tutorial on dynamic average consensus: the problem, its applications, and the algorithmscited by 9
  10. 2013Asynchronous Adaptation and Learning over Networks --- Part I: Modeling and Stability Analysiscited by 7
  11. 2019Primal-dual methods for large-scale and distributed convex optimization and data analyticscited by 6
  12. 2020Graph-Homomorphic Perturbations for Private Decentralized Learningcited by 6
  13. 2013Excess-Risk of Distributed Stochastic Learnerscited by 4
  14. 2014Stability and Performance Limits of Adaptive Primal-Dual Networkscited by 4
  15. 2017Distributed Subgradient Projection Algorithm over Directed Graphs: Alternate Proofcited by 4
  16. 2020Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasioncited by 4
  17. 2016Distributed Constrained Recursive Nonlinear Least-Squares Estimation: Algorithms and Asymptoticscited by 3
  18. 2013Adaptive Penalty-Based Distributed Stochastic Convex Optimizationcited by 1
  19. 2019Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimizationcited by 1
  20. 2021Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentationcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 5; 2026: 2.

10 papers.

  1. 2024Peer-to-Peer Learning Dynamics of Wide Neural Networkscited by 8
  2. 2024Online Graph Filtering Over Expanding Graphscited by 1
  3. 2025High-Probability Convergence Guarantees of Decentralized SGDcited by 1
  4. 2024A Unified Framework for Center-based Clustering of Distributed Datacited by 0
  5. 2025Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learningcited by 0
  6. 2025Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimizationcited by 0
  7. 2025Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphscited by 0
  8. 2025On the Escaping Efficiency of Distributed Adversarial Training Algorithmscited by 0
  9. 2026Distributed Gradient Clustering: Convergence and the Effect of Initializationcited by 0
  10. 2026Decentralized Multitask Learning over Learned Task Graphscited by 0