32 citations · 45 across the 5 of their papers we have counts for
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cs.LG2019★ 32 cited
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
Xinyan Dai, Xiao Yan, Kaiwen Zhou +4
The high cost of communicating gradients is a major bottleneck for federated learning, as the bandwidth of the participating user devices is limited. Existing gradient compression…
cs.LG2017★ 2 cited
Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent
Fanhua Shang, Yuanyuan Liu, James Cheng +2
In this paper, we propose a novel sufficient decrease technique for variance reduced stochastic gradient descent methods such as SAG, SVRG and SAGA. In order to make sufficient dec…