Enhanced Federated Learning Systems Enabling Secure, Privacy-Centric, and Distributed Model Training Across Cloud–Edge Layers
The need to train distributed models on cloud and edge devices is of growing concern in terms of security, privacy, and efficiency. Federated learning (FL) is a potential solution to training machine learning models without causing data decentralization, but its implementation in cloud-edge systems creates issues like...