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Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
IEEE Communications Surveys and Tutorials, 2021Latif U Khan, Walid Saad, Zhu Han
exaly
2016
The main objective of this chapter is to discuss various supervised learning models in detail. The supervised learning models provide parametrized mapping that projects a data domain into a response set, and thus helps extract knowledge (known) from data (unknown).
openaire +1 more source
The main objective of this chapter is to discuss various supervised learning models in detail. The supervised learning models provide parametrized mapping that projects a data domain into a response set, and thus helps extract knowledge (known) from data (unknown).
openaire +1 more source
Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells
Cancer Cell, 2020Kyle Salinas Sanchez +2 more
exaly
Machine learning for microbiologists
Nature Reviews Microbiology, 2023Francesco Asnicar +2 more
exaly

