mlsanityData to 7 Oct 2026

Competing Adaptive Networks

arXiv 2103.15664 ↗First posted 29 Mar 2021cs.MA cs.LG eess.SPcited by 1

Not on the map. Why?

Abstract (arXiv)

Adaptive networks have the capability to pursue solutions of global stochastic optimization problems by relying only on local interactions within neighborhoods. The diffusion of information through repeated interactions allows for globally optimal behavior, without the need for central coordination. Most existing strategies are developed for cooperative learning settings, where the objective of the network is common to all agents. We consider in this work a team setting, where a subset of the agents form a team with a common goal while competing with the remainder of the network. We develop an algorithm for decentralized competition among teams of adaptive agents, analyze its dynamics and present an application in the decentralized training of generative adversarial neural networks.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 17 of its 23 references that are in the map. First posted on arXiv 29 Mar 2021.

Builds on

17 of 23 references.

References · 17

  1. 2017Federated Multi-Task Learningcited by 669
  2. 2014EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimizationcited by 160
  3. 2016NEXT: In-Network Nonconvex Optimizationcited by 107
  4. 2020Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learningcited by 26
  5. 2019Distributed Learning in Non-Convex Environments -- Part I: Agreement at a Linear Ratecited by 22
  6. 2013On the Learning Behavior of Adaptive Networks - Part I: Transient Analysiscited by 20
  7. 2017Exact Diffusion for Distributed Optimization and Learning --- Part II: Convergence Analysiscited by 14
  8. 2019Distributed stochastic optimization with gradient tracking over strongly-connected networkscited by 11
  9. 2016Social Learning over Weakly-Connected Graphscited by 8
  10. 2016Distributed Learning for Stochastic Generalized Nash Equilibrium Problemscited by 6
  11. 2019Primal-dual methods for large-scale and distributed convex optimization and data analyticscited by 6
  12. 2014Information Exchange and Learning Dynamics over Weakly-Connected Adaptive Networkscited by 5
5 more
  1. 2016Distributed Algorithms for Aggregative Games on Graphscited by 4
  2. 2017Distributed Nash Equilibrium Seeking under Partial-Decision Information via the Alternating Direction Method of Multiplierscited by 3
  3. 2020On the linear convergence of distributed Nash equilibrium seeking for multi-cluster games under partial-decision informationcited by 3
  4. 2019Geometric Convergence of Distributed Gradient Play in Games with Unconstrained Action Setscited by 2
  5. 2021Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Gamescited by 1

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Diffusion Stochastic Learning Over Adaptive Competing Networkscited by 0