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Beimingwu: A Learnware Dock System. (arXiv:2401.14427v1 [cs.SE])
cs.CR updates on arXiv.org arxiv.org
The learnware paradigm proposed by Zhou [2016] aims to enable users to reuse
numerous existing well-trained models instead of building machine learning
models from scratch, with the hope of solving new user tasks even beyond
models' original purposes. In this paradigm, developers worldwide can submit
their high-performing models spontaneously to the learnware dock system
(formerly known as learnware market) without revealing their training data.
Once the dock system accepts the model, it assigns a specification and
accommodates the model. This …
arxiv beyond building can developers dock enable high hope machine machine learning machine learning models paradigm performing reuse system