Federated learning for cross-silo collaborations – Complete Phd and Masters Thesis
Introduction Federated learning has emerged as a promising approach for collaborative machine learning across multiple data silos, where data cannot be centrally aggregated due to privacy or regulatory concerns. This thesis aims to explore the…
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