\documentclass{beamer}

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\title{Distributed
Vector Quantization Algorithms}
\author{Matthieu Durut, Benoit Patra, Fabrice Rossi}
\date{\today}

\begin{document}

\begin{frame}
\frametitle{A Discussion on Parallelization Schemes for
Vector Quantization Algorithms}
\begin{itemize}
\item Online learning algorithms are successfully parallelized when the loss function is convex and smooth.
\item Vector Quantization loss function is not convex: classical average-based consensus does not work.
\item We present experimentations using other consensus techniques.
\end{itemize}
\end{frame}

\begin{frame}
\frametitle{A Discussion on Parallelization Schemes for
Vector Quantization Algorithms}
\begin{figure}
\begin{center}
\includegraphics[scale = 0.40, clip=true, trim = 0mm 0mm 0mm 10mm]{../../Pictures/parallelDALVQ/correctedPa10}
\caption{Charts of performance curves on our cloud implementation for different number
of computing entities.}
\end{center}
\end{figure}
\end{frame}


\end{document} 