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Kimad: Adaptive Gradient Compression with Bandwidth Awareness
In distributed training, communication often emerges as a bottleneck.
Global-QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees
To obtain theoretical guarantees, we generalize the notion of standard unbiased compression operators to incorporate Global-QSGD.
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