Computing MSc student publishes at top ranking conference
Tuesday 4 September 2007
Leonidas Vomvoridis, an MSc in Information Systems student in the Department, has co-authored a paper that was recently presented at the top ranking IEEE International Joint Conference on Neural Networks (IJCNN 2007). The paper titled "Distributing SOM Ensemble Training using Grid Middleware" was presented at the conference during July.
"In this paper we explore the distribution of training of self-organised maps (SOM) on Grid middleware. We propose a two-level architecture and discuss an experimental methodology comprising ensembles of SOMs distributed over a Grid with periodic averaging of weights. The purpose of the experiments is to begin to systematically assess the potential for reducing the overall time taken for training by a distributed training regime against the impact on precision. Several issues are considered: (i) the optimum number of ensembles; (ii) the impact of different types of training data; and (iii) the appropriate period of averaging. The proposed architecture has been evaluated in a Grid environment, with clock-time performance recorded."