Abstract: Efficient and high-quality processing and visualization of Distributed Acoustic Sensing (DAS) data are essential for human and computer interpretation. Due to the large volume of data in its ...

Abstract: Hierarchical federated learning shows excellent potential for communication-computation trade-offs and reliable data privacy protection by introducing edge-cloud collaboration. Considering ...