Scalable Data Engineering Architectures for Federated Learning in Decentralized Cloud Environments
This paper presents a comprehensive architectural framework for scalable data engineering tailored for FL in heterogeneous and resource-constrained environments and proposes a modular architecture that addresses data heterogeneity, scalability, and compliance.