1 citations · 4 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
Minghe Zhang, Chaosheng Dong, Jinmiao Fu +8
In this paper, we introduce AdaSelection, an adaptive sub-sampling method to identify the most informative sub-samples within each minibatch to speed up the training of large-scale…
cs.LG2023★ 1 cited
SLPerf: a Unified Framework for Benchmarking Split Learning
Tianchen Zhou, Zhanyi Hu, Bingzhe Wu +1
Data privacy concerns has made centralized training of data, which is scattered across silos, infeasible, leading to the need for collaborative learning frameworks. To address that…
cs.LG2021★ 1 cited
Incentivized Bandit Learning with Self-Reinforcing User Preferences
Tianchen Zhou, Jia Liu, Chaosheng Dong +1
In this paper, we investigate a new multi-armed bandit (MAB) online learning model that considers real-world phenomena in many recommender systems: (i) the learning agent cannot pu…