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Survey on the Convergence of Machine Learning and Blockchain. (arXiv:2201.00976v2 [cs.LG] UPDATED)
June 29, 2022, 1:20 a.m. | Shengwen Ding, Chenhui Hu
cs.CR updates on arXiv.org arxiv.org
Machine learning (ML) has been pervasively researched nowadays and it has
been applied in many aspects of real life. Nevertheless, issues of model and
data still accompany the development of ML. For instance, training of
traditional ML models is limited to the access of data sets, which are
generally proprietary; published ML models may soon be out of date without an
update of new data and continuous training; malicious data contributors may
upload wrongly labeled data that leads to undesirable …
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