7 citations · 9 across the 4 of their papers we have counts for
4 papers
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Weihang Chen, Cheng Yang, Jie Ren +2
Real-life deployment of federated Learning (FL) often faces non-IID data, which leads to poor accuracy and slow convergence. Personalized FL (pFL) tackles these issues by tailoring…
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
Yuxin Liang, Rui Cao, Jie Zheng +2
Pre-trained language models such as BERT have become a more common choice of natural language processing (NLP) tasks. Research in word representation shows that isotropic embedding…
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores
Lu Yuan, Jie Ren, Ling Gao +2
The web has become a ubiquitous application development platform for mobile systems. Yet, web access on mobile devices remains an energy-hungry activity. Prior work in the field ma…
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
Qing Qin, Jie Ren, Jialong Yu +6
The recent advances in deep neural networks (DNNs) make them attractive for embedded systems. However, it can take a long time for DNNs to make an inference on resource-constrained…