OS-ELM-FPGA: An FPGA-based online sequential unsupervised anomaly detector

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Autoencoder, a neural-network based dimensionality reduction algorithm has demonstrated its effectiveness in anomaly detection. It can detect whether an input sample is normal or abnormal by just training only with normal data. In general, Autoencoder is built on backpropagation-based neural networks (BP-NNs). When BP-NNs are implemented in edge devices, they are typically specialized only for prediction with weight matrices precomputed offline due to the high computational cost. However, such devices cannot be immediately adapted to time-series trend changes of input data. In this paper, we propose an FPGA-based unsupervised anomaly detector, called OS-ELM-FPGA, that combines Autoencoder and an online sequential learning algorithm OS-ELM. Based on our theoretical analysis of the algorithm, the proposed OS-ELM-FPGA completely eliminates matrix pseudoinversions while improving the learning throughput. Simulation results using open-source datasets show that OS-ELM-FPGA achieves favorable anomaly detection accuracy compared to CPU and GPU implementations of BP-NNs. Learning throughput of OS-ELM-FPGA is 3.47x to 27.99x and 5.22x to 78.06x higher than those of CPU and GPU implementations of OS-ELM. It is also 3.62x to 36.15x and 1.53x to 43.44x higher than those of CPU and GPU implementations of BP-NNs.

本文言語English
ホスト出版物のタイトルEuro-Par 2018
ホスト出版物のサブタイトルParallel Processing Workshops - Euro-Par 2018 International Workshops, Revised Selected Papers
編集者Gabriele Mencagli, Dora B. Heras
出版社Springer Verlag
ページ518-529
ページ数12
ISBN(印刷版)9783030105488
DOI
出版ステータスPublished - 2019
イベント24th International Conference on Parallel and Distributed Computing, Euro-Par 2018 - Turin, Italy
継続期間: 2018 8 272018 8 28

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11339 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference24th International Conference on Parallel and Distributed Computing, Euro-Par 2018
国/地域Italy
CityTurin
Period18/8/2718/8/28

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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