Federated learning for privacy-preserving smart city applications – Complete Phd and Masters Thesis
[ad_1] Introduction Federated learning has emerged as a promising technique for privacy-preserving machine learning applications in various domains, including healthcare, finance, and smart cities. In the context of smart cities, where data is generated from…
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