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DoT
IoT
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Labeled data ML algorithm
Input data
Trained
network
prediction
Training
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Training is usually off-line
Needs a lot of time and power
Usually requires big GPU. (some new
ASIC chips are expected soon)
Has to be on-line
Time and power constraint
Usually less computation than training.
Currently GPU based. FPGA use expected
in the future
cloud
edge
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(2) Dual-core ARM Cortex-A9 on 5CSEA6 (800MHz)
(3) Altera CycloneV 5CSEA6 (100MHz)
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