
Federated Learning for Privacy-Preserving Edge Computing
Explore federated learning for privacy-preserving edge computing, decentralized training, privacy protection, collaborative learning, and regulatory compliance. Learn how to set up the environment, prepare data, initialize the model, train local models, aggregate model updates, update the global model, and evaluate and monitor the system.











