38 citations · 71 across the 16 of their papers we have counts for
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cs.LG2021★ 2 cited
Towards Understanding the Impact of Model Size on Differential Private Classification
Yinchen Shen, Zhiguo Wang, Ruoyu Sun +1
Differential privacy (DP) is an essential technique for privacy-preserving. It was found that a large model trained for privacy preserving performs worse than a smaller model (e.g.…
cs.LG2021★ 9 cited
Federated Semi-Supervised Learning with Class Distribution Mismatch
Zhiguo Wang, Xintong Wang, Ruoyu Sun +1
Many existing federated learning (FL) algorithms are designed for supervised learning tasks, assuming that the local data owned by the clients are well labeled. However, in many pr…
cs.IT2021
Randomized Multiple Model Multiple Hypothesis Tracking
Haiqi Liu, Xiaojing Shen, Zhiguo Wang +4
This paper considers the data association problem for multi-target tracking. Multiple hypothesis tracking is a popular algorithm for solving this problem but it is NP-hard and is i…