Deciphering cellular microenvironments at atlas scale remains challenging. Here, authors present a scalable contrastive learning framework using cell-centric subgraphs to map niches across platforms.

Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...

Abstract: In electronic warfare, radar systems are confronted with significant threats within the complex electromagnetic environment, particularly from the prevalent method of blanket jamming that ...