230 citations · 1.9k across the 78 of their papers we have counts for
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cs.LG2023
Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity
Richeng Jin, Xiaofan He, Caijun Zhong +3
Communication overhead has become one of the major bottlenecks in the distributed training of deep neural networks. To alleviate the concern, various gradient compression methods h…
cs.LG2022★ 3 cited
Over-the-Air Split Machine Learning in Wireless MIMO Networks
Yuzhi Yang, Zhaoyang Zhang, Yuqing Tian +4
In split machine learning (ML), different partitions of a neural network (NN) are executed by different computing nodes, requiring a large amount of communication cost. To ease com…