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20232026
most citedAdvancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation

3 citations · 4 across the 4 of their papers we have counts for

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cs.LG2023★ 1 cited

TinyProp -- Adaptive Sparse Backpropagation for Efficient TinyML On-device Learning

Marcus Rüb, Daniel Maier, Daniel Mueller-Gritschneder +1

Training deep neural networks using backpropagation is very memory and computationally intensive. This makes it difficult to run on-device learning or fine-tune neural networks on…