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1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Tiny Updater: Towards Efficient Neural Network-Driven Software Updating

   Zhang and Ma · IEEE/CVF International Conference on Computer Vision (ICCV) · 2023

   The paper proposes Tiny Updater, a training method that lets neural network-based software on edge devices be updated by downloading only a small share of parameters, tested on eleven datasets.

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   1. UncheckedTiny Updater, using pruning and knowledge distillation variants, lets neural network software update by downloading only 10%~20% of the parameters.“Specifically, by adopting the variant of pruning and knowledge distillation methods, Tiny Updater can update the neural network-based software by only downloading a few parameters (10%~20%) instead of all the parameters in the neural network.”