Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn)

Lugan, Sebastien, Desbordes, Paul, Tormo, Luis Xavier Ramos, Legay, Axel, Macq, Benoit

arXiv.org Machine Learning 

The distributed learning could be monitored by a centralized certification authority which Deep learning algorithms, such as deep convolutional would be in charge of the validation of each iteration of the neural networks (CNN) [1], are efficient tools to help data learning process. Alternatively, a blockchain could be used scientists process the huge amounts of potentially very sensitive to store auditable records of each and every transaction on data generated e.g. in medical, financial or industrial an immutable decentralized ledger. This approach has been applications (including data generated from smart sensors suggested in [7], where it is advocated that blockchains can such as smart meters and other IoT sensors for smart cities be used to store signatures of patient records.

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