Abstract
Investigators discuss new findings in Machine Learning. According to news reporting originating from Vigo, Spain, by NewsRx correspondents, research stated, “Decentralized machine learning has recently been proposed as a potential solution to the security issues of the canonical federated learning approach. In this paper, we propose a decentralized and collaborative machine learning framework specially oriented to resource-constrained devices, usual in IoT deployments.” Funders for this research include Axencia Galega de Innovacion (GAIN), Agencia Estatal de Investigacion under the research project “Enhancing Communication Protocols with Machine Learning while Protecting Sensitive Data (COMPROMISE). Our news editors obtained a quote from the research from the University of Vigo, “With this aim we propose the following construction blocks. First, an incremental learning algorithm based on prototypes that was specifically implemented to work in low-performance computing elements. Second, two randombased protocols to exchange the local models among the computing elements in the network. Finally, two algorithmics approaches for prediction and prototype creation.”
NETL
NSTL
Elsevier