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20212025
most citedAn Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization

51 citations · 52 across the 4 of their papers we have counts for

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cs.LG2025

FedPURIN: Programmed Update and Reduced INformation for Sparse Personalized Federated Learning

Lunchen Xie, Zehua He, Qingjiang Shi

Personalized Federated Learning (PFL) has emerged as a critical research frontier addressing data heterogeneity issue across distributed clients. Novel model architectures and coll…

cs.CV2025★ 1 cited

ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm

Lunchen Xie, Eugenio Lomurno, Matteo Gambella +4

Differentiable Neural Architecture Search (NAS) provides a promising avenue for automating the complex design of deep learning (DL) models. However, current differentiable NAS meth…