8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.IR2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
Yucheng Ding, Chaoyue Niu, Fan Wu +3
To meet the practical requirements of low latency, low cost, and good privacy in online intelligent services, more and more deep learning models are offloaded from the cloud to mob…
stat.ME2022
Hypothesis Tests with Functional Data for Surface Quality Change Detection in Surface Finishing Processes
Shilan Jin, Rui Tuo, Akash Tiwari +5
This work is concerned with providing a principled decision process for stopping or tool-changing in a surface finishing process. The decision process is supposed to work for produ…
cs.LG2020★ 8 cited
Distributed Optimization over Block-Cyclic Data
Yucheng Ding, Chaoyue Niu, Yikai Yan +5
We consider practical data characteristics underlying federated learning, where unbalanced and non-i.i.d. data from clients have a block-cyclic structure: each cycle contains sever…