2 papers
cs.LG2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
Wujun Zhou, Shu Ding, ZeLin Li +1
Federated learning enables the clients to collaboratively train a global model, which is aggregated from local models. Due to the heterogeneous data distributions over clients and…
physics.ins-det2020
Reflectance of Silicon Photomultipliers in Linear Alkylbenzene
W. Wang, G. F. Cao, Z. Q. Xie +3
Reflectance of silicon photomultipliers (SiPMs) is an important aspect to understand the large scale SiPM-based detector systems and evaluate the performance of SiPMs. We report th…