38 citations · 71 across the 16 of their papers we have counts for
4 papers · 1 filter
Network Topology Inference from Smooth Signals Under Partial Observability
Chuansen Peng, Hanning Tang, Zhiguo Wang +1
Inferring network topology from smooth signals is a significant problem in data science and engineering. A common challenge in real-world scenarios is the availability of only part…
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.…
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…
Optimally Combining Classifiers for Semi-Supervised Learning
Zhiguo Wang, Liusha Yang, Feng Yin +3
This paper considers semi-supervised learning for tabular data. It is widely known that Xgboost based on tree model works well on the heterogeneous features while transductive supp…