SEMINAR: \u201cEVENT-TRIGGERED DISTRIBUTED ESTIMATION WITH REDUCED COMMUNICATION LOAD\u201d by IHSAN UTLU
\nM.S. in Electrical and Electronics Engineering
\nAdvisor: Assoc. Prof. Dr. S. Serdar Kozat
\nThe seminar will be on Wednesday, January 25 at 13:00, @ EE-314<\/p>\n
ABSTRACT<\/p>\n
We propose a novel algorithm for distributed processing applications constrained by the available communication resources using diffusion strategies that achieves up to a 10\u00b3 fold reduction in the communication load over the network, while delivering a comparable performance with respect to the state of the art. After the computation of the local estimates, the information is diffused among the processing elements (or nodes) non-uniformly in time by conditioning the information transfer on level-crossings of the diffused parameter, resulting in a greatly reduced communication requirement. We provide the mean and mean-square stability analyses of the proposed algorithm, and illustrate the gain in communication efficiency compared to other reduced-communication distributed estimation schemes.<\/p>\n","protected":false},"excerpt":{"rendered":"
SEMINAR: \u201cEVENT-TRIGGERED DISTRIBUTED ESTIMATION WITH REDUCED COMMUNICATION LOAD\u201d by IHSAN UTLU M.S. in Electrical and Electronics Engineering Advisor: Assoc. Prof. Dr. S. Serdar Kozat The seminar will be on Wednesday, January 25 at 13:00, @ EE-314 ABSTRACT We propose a novel algorithm for distributed processing applications constrained by the available [\u2026] <\/p>\n