Privacy-preserving federated learning for smart homes – Complete Phd and Masters Thesis
Introduction: Privacy-preserving federated learning is a promising technology that allows multiple smart home devices to collaboratively learn a shared model without exposing raw data to any central server. This approach enables smart homes to improve…
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