4 citations · 13 across the 6 of their papers we have counts for
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cs.LG2023★ 2 cited
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
Yash Travadi, Le Peng, Xuan Bi +2
Federated learning (FL) is a privacy-preserving learning technique that enables distributed computing devices to train shared learning models across data silos collaboratively. Exi…
cs.LG2020★ 4 cited
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness
Xuan Bi, Gediminas Adomavicius, William Li +1
Due to accessible big data collections from consumers, products, and stores, advanced sales forecasting capabilities have drawn great attention from many companies especially in th…