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• Information technology
• June 6, 2024

Secure multi-party computation for privacy-preserving federated learning – Complete Phd and Masters Thesis

Introduction In recent years, federated learning has gained significant attention as a privacy-preserving technique for training machine learning models on distributed data sources. However, one of the key challenges in federated learning is ensuring the…