2 papers
cs.AR2026
RedFuser: An Automatic Operator Fusion Framework for Cascaded Reductions on AI Accelerators
Xinsheng Tang, Yangcheng Li, Nan Wang +5
Operator fusion, as a key performance optimization technique in the deployment of AI models, significantly improves execution efficiency and has been widely adopted in modern AI co…
cs.LG2023
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems
Yangchen Li, Ying Cui, Vincent Lau
The optimal implementation of federated learning (FL) in practical edge computing systems has been an outstanding problem. In this paper, we propose an optimization-based quantized…