Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. However, selecting the participants that would contribute to this collaborat...
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| Format: | masterThesis |
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2022
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| Online Access: | http://hdl.handle.net/10725/14123 https://doi.org/10.26756/th.2022.451 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
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