most citedWellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions

6 citations · 10 across the 5 of their papers we have counts for

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cs.LG2024★ 2 cited

High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates

Fred Lu, Ryan R. Curtin, Edward Raff +2

As the size of datasets used in statistical learning continues to grow, distributed training of models has attracted increasing attention. These methods partition the data and expl…

cs.LG2024★ 2 cited

Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification

Fred Lu, Ryan R. Curtin, Edward Raff +2

While distributed training is often viewed as a solution to optimizing linear models on increasingly large datasets, inter-machine communication costs of popular distributed approa…