MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. (arXiv:2209.05227v1 [cs.DC])

Deploying machine learning models on mobile devices has gained increasing
attention. To tackle the model generalization problem with the limitations of
hardware resources on the device, the device model needs to be lightweight by
techniques such as model compression from the cloud model. However, the major
obstacle to improve the device model generalization is the distribution shift
between the data of cloud and device models, since the data distribution on
device model often changes over time (e.g., users might have …

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