Over-the-Air Federated Learning: A Novel Edge AI Approach

This ArXiv paper explores a novel method of implementing federated learning using over-the-air communication, potentially improving efficiency and reducing communication overhead in edge AI applications. The application of signal processing techniques to this problem is a promising avenue for improving federated learning performance.

• •Explores the use of over-the-air communication for federated learning.
• •Applies signal processing techniques to improve edge AI performance.
• •Potentially reduces communication overhead.