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Rethinking gradient sparsification as total error minimization
Compressed Communication for Distributed Deep Learning: Survey and Quantitative Evaluation
Scaling Distributed Machine Learning with In-Network Aggregation
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
In-Network Computation is a Dumb Idea Whose Time Has Come
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