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IoT Federated Blockchain Learning at the Edge. (arXiv:2304.03006v1 [cs.LG])
cs.CR updates on arXiv.org arxiv.org
IoT devices are sorely underutilized in the medical field, especially within
machine learning for medicine, yet they offer unrivaled benefits. IoT devices
are low-cost, energy-efficient, small and intelligent devices. In this paper,
we propose a distributed federated learning framework for IoT devices, more
specifically for IoMT (Internet of Medical Things), using blockchain to allow
for a decentralized scheme improving privacy and efficiency over a centralized
system; this allows us to move from the cloud-based architectures, that are
prevalent, to the …
benefits blockchain cloud cloud-based cost decentralized devices distributed edge efficiency energy federated learning framework internet iomt iot iot devices low machine machine learning medical medicine offer privacy system the edge things training