2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
Heting Liu, Junzhe Huang, Fang He +1
Federated Learning (FL) enables edge devices to collaboratively learn a global model, but it may not perform well when clients have high data heterogeneity. In this paper, we propo…
cs.LG2022★ 2 cited
Prediction of GPU Failures Under Deep Learning Workloads
Heting Liu, Zhichao Li, Cheng Tan +4
Graphics processing units (GPUs) are the de facto standard for processing deep learning (DL) tasks. Meanwhile, GPU failures, which are inevitable, cause severe consequences in DL t…