64 citations · 279 across the 30 of their papers we have counts for
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cs.LG2023
Sparse Decentralized Federated Learning
Shan Sha, Shenglong Zhou, Lingchen Kong +1
Decentralized Federated Learning (DFL) enables collaborative model training without a central server but faces challenges in efficiency, stability, and trustworthiness due to commu…
math.OC2023
Revisiting Norm Regularized Optimization
Shenglong Zhou, Xianchao Xiu, Yingnan Wang +1
Sparse optimization has seen its advances in recent decades. For scenarios where the true sparsity is unknown, regularization turns out to be a promising solution. Two popular non-…