7 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Quantifying the Impact of Label Noise on Federated Learning
Shuqi Ke, Chao Huang, Xin Liu
Federated Learning (FL) is a distributed machine learning paradigm where clients collaboratively train a model using their local (human-generated) datasets. While existing studies…
cs.GT2022★ 7 cited
Incentivizing Data Contribution in Cross-Silo Federated Learning
Chao Huang, Shuqi Ke, Charles Kamhoua +2
In cross-silo federated learning, clients (e.g., organizations) train a shared global model using local data. However, due to privacy concerns, the clients may not contribute enoug…