Federated learning is a collaborative machine learning approach that enables multiple clients to train a shared model while keeping their local data private. This method addresses privacy concerns by ensuring that sensitive data remains decentralized, thus reducing the risk of data breaches. By leveraging the collective knowledge of diverse dataset...

Toward Privacy-Preserving, Secure, and Fair Federated Learning