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20192026
most citedByzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach

9 citations · 26 across the 12 of their papers we have counts for

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cs.DC2020★ 5 cited

Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach

Xin Zhang, Minghong Fang, Jia Liu +1

With rise of machine learning (ML) and the proliferation of smart mobile devices, recent years have witnessed a surge of interest in performing ML in wireless edge networks. In thi…

cs.DC2019

Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors

Xin Zhang, Jia Liu, Zhengyuan Zhu +1

Network-distributed optimization has attracted significant attention in recent years due to its ever-increasing applications. However, the classic decentralized gradient descent (D…