Cost-Aware Federated Learning: A Novel Approach for Multi-Cloud Environments

This research paper introduces a novel framework, Cost-TrustFL, that addresses the challenges of federated learning in multi-cloud settings by considering both cost and trust. The lightweight reputation evaluation component is a key aspect of this framework, aiming to improve efficiency and reliability.

• •Addresses cost considerations in federated learning across multiple cloud platforms.
• •Employs a reputation evaluation system to enhance trust and reliability.
• •Focuses on a hierarchical federated learning architecture for improved performance.