Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Neural Network-Based On-device Learning Anomaly Detector for Edge
  Devices   Semi-supervised anomaly detection is an approach to identify anomalies by
learning the distribution of normal data. Backpropagation neural networks
(i.e., BP-NNs) based approaches have recently drawn attention because of their
good generalization capability. In a typical situation, BP-NN-based models are
iteratively optimized in server machines with input data gathered from edge
devices. However, (1) the iterative optimization often requires significant
efforts to follow changes in the distribution of normal data (i.e., concept
drift), and (2) data transfers between edge and server impose additional
latency and energy consumption. To address these issues, we propose ONLAD and
its IP core, named ONLAD Core. ONLAD is highly optimized to perform fast
sequential learning to follow concept drift in less than one millisecond. ONLAD
Core realizes on-device learning for edge devices at low power consumption,
which realizes standalone execution where data transfers between edge and
server are not required. Experiments show that ONLAD has favorable anomaly
detection capability in an environment that simulates concept drift.
Evaluations of ONLAD Core confirm that the training latency is 1.95x~6.58x
faster than the other software implementations. Also, the runtime power
consumption of ONLAD Core implemented on PYNQ-Z1 board, a small FPGA/CPU SoC
platform, is 5.0x~25.4x lower than them.

21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn