40 citations · 50 across the 7 of their papers we have counts for
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cs.LG2021★ 2 cited
Asynchronous Federated Learning for Sensor Data with Concept Drift
Yujing Chen, Zheng Chai, Yue Cheng +1
Federated learning (FL) involves multiple distributed devices jointly training a shared model without any of the participants having to reveal their local data to a centralized ser…
cs.LG2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Junxiang Wang, Hongyi Li, Zheng Chai +3
While Graph Neural Networks (GNNs) are popular in the deep learning community, they suffer from several challenges including over-smoothing, over-squashing, and gradient vanishing.…