26 citations · 46 across the 5 of their papers we have counts for
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cs.LG2024
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning
Xiaoyu Gan, Jingbo Jiang, Jingyang Zhu +3
Substantial efforts have been devoted to alleviating the impact of the long-tailed class distribution in federated learning. In this work, we observe an interesting phenomenon that…
cs.LG2021★ 26 cited
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation
Xizi Chen, Jingyang Zhu, Jingbo Jiang +1
The unstructured sparsity after pruning poses a challenge to the efficient implementation of deep learning models in existing regular architectures like systolic arrays. On the oth…
cs.LG2017★ 3 cited
SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity
Jingyang Zhu, Jingbo Jiang, Xizi Chen +1
Contemporary Deep Neural Network (DNN) contains millions of synaptic connections with tens to hundreds of layers. The large computation and memory requirements pose a challenge to…