Federated Learning in Production: Challenges, Defenses, and Real-World Deployments

Federated learning introduces engineering challenges that don't exist in centralized training: statistical heterogeneity across clients, communication efficiency, adversarial clients, and privacy attack vectors. Production deployments require solving all of these simultaneously while maintaining model quality at scale.