Abstract: Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient ...
Abstract: This paper studies a deep learning-driven method for identifying modulation types in communication signals without prior information. To effectively capture the relationship between points ...