Federated learning for collaborative anomaly detection in IoT networks – Complete Phd and Masters Thesis

[ad_1] Introduction: Federated learning is a decentralized machine learning approach that allows multiple parties to collaboratively build a global model without sharing their private data. This approach has gained significant attention in recent years due…

Read More