Abstract: Cross-domain federated learning (FL), as an emerging paradigm of distributed machine learning, enables collaborative training across multiple parties while preserving data privacy. However, ...
Abstract: In recent years, domain adaptation (DA) methods have been widely applied in cross-domain fault diagnosis. However, these methods are based on the assumption that the source domain and target ...