On the Learning Behavior of Adaptive Networks

@inproceedings{Chen2014OnTL,
  title={On the Learning Behavior of Adaptive Networks},
  author={Jianshu Chen},
  year={2014}
}
Author(s): Chen, Jianshu | Advisor(s): Sayed, Ali H | Abstract: This dissertation deals with the development of effective information processing strategies for distributed optimization and learning over graphs. The work considers initially global cost functions that can be expressed as the aggregate sum of individual costs (``sum-of-costs'') and proceeds to develop diffusion adaptation algorithms that enable distributed optimization through localized coordination among neighboring agents. The… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 148 REFERENCES

Di↵usion adaptation over networks

A. H. Sayed
  • Academic Press Library in Signal Processing,
  • 2014
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks

  • IEEE Transactions on Signal Processing
  • 2012
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Diffusion gradient temporal difference for cooperative reinforcement learning with linear function approximation

  • 2012 3rd International Workshop on Cognitive Information Processing (CIP)
  • 2012
VIEW 14 EXCERPTS
HIGHLY INFLUENTIAL

Online `1-dictionary learning with application to novel document detection

S. P. Kasiviswanathan, H. Wangy, A. Banerjeey, P. Melville
  • Proc. NIPS, pages 2267–2275, Lake Tahoe, Nevada, Dec.
  • 2012
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Performance Limits for Distributed Estimation Over LMS Adaptive Networks

  • IEEE Transactions on Signal Processing
  • 2012
VIEW 17 EXCERPTS
HIGHLY INFLUENTIAL

Distributed Subgradient Methods for Multi-Agent Optimization

  • IEEE Transactions on Automatic Control
  • 2009
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL