24 citations · 87 across the 18 of their papers we have counts for
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cs.IT2021
Data-Time Tradeoffs for Optimal k-Thresholding Algorithms in Compressed Sensing
Jialiang Xu, Xu Zhang
Optimal -thresholding algorithms are a class of -sparse signal recovery algorithms that overcome the shortcomings of traditional hard thresholding algorithms caused by the os…
cs.LG2021★ 1 cited
Sparse Personalized Federated Learning
Xiaofeng Liu, Yinchuan Li, Qing Wang +3
Federated Learning (FL) is a collaborative machine learning technique to train a global model without obtaining clients' private data. The main challenges in FL are statistical div…