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20242026
most citedMask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning

2 citations · 2 across the 8 of their papers we have counts for

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cs.LG2025

Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition

Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen +2

In recent years, as a compromise between privacy and performance, few-sample model compression has been widely adopted to deal with limited data resulting from privacy and security…

cs.LG2025

Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation

Shen-Huan Lyu, Yi-Xiao He, Yanyan Wang +3

Oblique Decision Tree (ODT) separates the feature space by linear projections, as opposed to the conventional Decision Tree (DT) that forces axis-parallel splits. ODT has been prov…