Federated learning for distributed anomaly detection – Complete Phd and Masters Thesis
[ad_1] Introduction: Federated learning is a machine learning approach that enables training models across multiple decentralized edge devices while keeping data localized, thus preserving privacy. This technique has gained significant attention in recent years due…
Read More