Beyond 5G: Making Machine Learning To Work On 6G – IAM Network

As the world tries to grapple with the implications of 5G, researchers from China have already started looking into 6G. University, China, and others investigated the challenges of embracing 6G as the world moves towards ML heavy solutions. Their main objective is to find out how to make ML more feasible in a high-speed wireless environment. Federated learning, stated the authors, is an emerging distributed AI approach with privacy preservation nature is particularly attractive for various wireless applications, especially to achieve ubiquitous AI in 6G. Traditional Machine Learning techniques rely on a central server and are prone to critical security challenges, e.g., a single point of failure.