6 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li, Jeff M. Phillips, Xin Yu +2
Learning functions with high-dimensional outputs is critical in many applications, such as physical simulation and engineering design. However, collecting training examples for the…
cs.LG2022★ 6 cited
Meta Knowledge Condensation for Federated Learning
Ping Liu, Xin Yu, Joey Tianyi Zhou
Existing federated learning paradigms usually extensively exchange distributed models at a central solver to achieve a more powerful model. However, this would incur severe communi…