1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IR2023
Private Matrix Factorization with Public Item Features
Mihaela Curmei, Walid Krichene, Li Zhang +1
We consider the problem of training private recommendation models with access to public item features. Training with Differential Privacy (DP) offers strong privacy guarantees, at…
cs.PF2023★ 1 cited
WPC: Whole-picture Workload Characterization
Lei Wang, Kaiyong Yang, Chenxi Wang +7
This article raises an important and challenging workload characterization issue: can we uncover each critical component across the stacks contributing what percentages to any spec…
cs.DC2022★ 1 cited
Device-centric Federated Analytics At Ease
Li Zhang, Junji Qiu, Shangguang Wang +1
Nowadays, high-volume and privacy-sensitive data are generated by mobile devices, which are better to be preserved on devices and queried on demand. However, data analysts still la…