Abstract: Federated learning, as a typical ensemble distributed machine learning framework, enables collaborative model training across decentralized data sources while preserving data privacy, which ...

Abstract: In recent years, deep neural network tasks have increasingly relied on high-quality image inputs. With the development of high-resolution representation learning, the task of image dehazing ...