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A Review on Federated Learning and Machine Learning Approaches: Categorization, Application Areas, and Blockchain Technology
2022
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Federated learning (FL) is a scheme in which several consumers work collectively to unravel machine learning (ML) problems, with a dominant collector synchronizing the procedure. This decision correspondingly enables the training data to be distributed, guaranteeing that the individual device's data are secluded. The paper systematically reviewed the available literature using the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guiding principle. The study presents a
doi:10.3390/info13050263
fatcat:evmwjo52jfhlbg4vw2hatew4k4