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For the development of blockchain smart contracts, a structured approach based on the principles of the Model Driven Architecture can be beneficial and facilitate the implementation of smart contracts. This paper presents such an approach, which, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3838692aab9104dd4ea04869bbf65e
https://vb.ktu.edu/KTU:ELABAPDB126714491&prefLang=en_US
https://vb.ktu.edu/KTU:ELABAPDB126714491&prefLang=en_US
Publikováno v:
Applied Sciences, Vol 11, Iss 1010, p 1010 (2021)
Applied Sciences
Volume 11
Issue 3
Applied Sciences
Volume 11
Issue 3
Federated learning is a branch of machine learning where a shared model is created in a decentralized and privacy-preserving fashion, but existing approaches using blockchain are limited by tailored models. We consider the possibility to extend a set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d9303d2d03ebf9b3bee1347a962558
https://vb.ktu.edu/KTU:ELABAPDB85484138&prefLang=en_US
https://vb.ktu.edu/KTU:ELABAPDB85484138&prefLang=en_US