Privacy-preserving federated learning for mobile devices – Complete Phd and Masters Thesis
[ad_1] Thesis Overview Privacy-preserving federated learning is a revolutionary approach that enables mobile devices to collaboratively train machine learning models without compromising the privacy of user data. This thesis focuses on exploring the implementation and…
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