Distributed Kernel Regression: An Algorithm for Training Collaboratively

  title={Distributed Kernel Regression: An Algorithm for Training Collaboratively},
  author={Joel B. Predd and Sanjeev R. Kulkarni and H. Vincent Poor},
  journal={2006 IEEE Information Theory Workshop - ITW '06 Punta del Este},
This paper addresses the problem of distributed learning under communication constraints, motivated by distributed signal processing in wireless sensor networks and data mining with distributed databases. After formalizing a general model for distributed learning, an algorithm for collaboratively training regularized kernel least-squares regression estimators is derived. Noting that the algorithm can be viewed as an application of successive orthogonal projection algorithms, its convergence… CONTINUE READING
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