Abstract: Seismic data are inevitably polluted by noise, which has a significant impact on subsequent applications. Currently, regularization-based methods that utilize interpretable data priors are ...

Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.

Explore how indexing tracks economic trends, supports passive investing, and serves as a benchmark tool for comparing market ...