In today’s increasingly interconnected world, high-quality communication has become more vital than ever. Accurately estimating the dynamic status of communication channels is a key factor in achieving this. Recently, a joint research team designed a new algorithm that offers high-level estimation accuracy and privacy protection with low computational and communication costs. This research was published in Intelligent Computing.
This new algorithm uses a specially designed deep learning model for precise estimation and a federated learning framework for training the model while keeping user data secure and overhead low. It also includes a user motivation scheme to get the most out of computing resources.
