Federated Learning and Wireless Communications

Federated learning becomes increasingly attractive in the areas of wireless communications and machine due to its powerful ability potential applications. In contrast other techniques that require no communication resources, federated exploits between central server distributed local clients train optimize a model. Therefore, how efficiently assign limited resources model critical performance optimization. On hand, learning, as brand-new tool, can potentially enhance intelligence networks. this article, we provide comprehensive overview relationship communications, including basic principles efficient for training model, intelligent We also identify some research challenges directions at end article.