Federated Learning: Technical Mechanics, Algorithms, Challenges, and Real-World Applications
Abstract Federated Learning (FL) has emerged as a pivotal technique in decentralized artificial intelligence, enabling collaborative model training across distributed devices while preserving data privacy. This research report delves into the technical mechanics of FL, […]
