5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
Yongzhe Jia, Xuyun Zhang, Hongsheng Hu +5
Federated learning (FL) has emerged as a prominent machine learning paradigm in edge computing environments, enabling edge devices to collaboratively optimize a global model withou…
astro-ph.HE2024★ 5 cited
Broadband study of the Be X-ray binary RX J0520.5-6932 during its outburst in 2024
H. N. Yang, C. Maitra, G. Vasilopoulos +18
A new giant outburst of the Be X-ray binary RX J0520.5-6932 was detected and subsequently observed with several space-borne and ground-based instruments. This study presents a comp…
cs.NI2024
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism
Fan Wu, Muhammad Bilal, Haolong Xiang +3
Railway Turnout Machines (RTMs) are mission-critical components of the railway transportation infrastructure, responsible for directing trains onto desired tracks. For safety assur…