2 papers
cs.OS2026
Exploiting Dependency and Parallelism: Real-Time Scheduling and Analysis for GPU Tasks
Yuanhai Zhang, Songyang He, Ruizhe Gou +4
With the rapid advancement of Artificial Intelligence, the Graphics Processing Unit (GPU) has become increasingly essential across a growing number of safety-critical application d…
cs.LG2022
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent
Yujie Zhou, Zhidu Li, Tong Tang +1
Federated learning (FL), which has gained increasing attention recently, enables distributed devices to train a common machine learning (ML) model for intelligent inference coopera…