Cascade RSVM in Peer-to-Peer Networks

@inproceedings{Ang2008CascadeRI,
  title={Cascade RSVM in Peer-to-Peer Networks},
  author={Hock Hee Ang and Vivekanand Gopalkrishnan and Steven C. H. Hoi and Wee Keong Ng},
  booktitle={ECML/PKDD},
  year={2008}
}
The goal of distributed learning in P2P networks is to achieve results as close as possible to those from centralized approaches. Learning models of classification in a P2P network faces several challenges like scalability, peer dynamism, asynchronism and data privacy preservation. In this paper, we study the feasibility of building SVM classifiers in a P2P network. We show how cascading SVM can be mapped to a P2P network of data propagation. Our proposed P2P SVM provides a method for… CONTINUE READING
Highly Cited
This paper has 39 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 22 extracted citations

Distributed SVM Classification with Redundant Data Removing

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing • 2013
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 22 references

A study on reduced support vector machines

IEEE Trans. Neural Networks • 2003
View 4 Excerpts
Highly Influenced

UCI machine learning repository

A. Asuncion, D. Newman
2007
View 1 Excerpt

A parallel SVM training algorithm on large-scale classification problems

2005 International Conference on Machine Learning and Cybernetics • 2005
View 3 Excerpts

Similar Papers

Loading similar papers…