Privacy-preserving federated learning for mobile health – Complete Phd and Masters Thesis
[ad_1] Introduction Privacy-preserving federated learning has emerged as a promising solution for training machine learning models on decentralized data sources while maintaining data privacy and security. In the context of mobile health, where sensitive personal…
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