With per-method hyperparameter tuning, 50x top-k and DGC sparsification improved PTB LSTM perplexity by up to 0.06 over the uncompressed baseline, while QSGD and stronger compression performed at or below baseline.
An Enhanced Human Speech Emotion Recognition Using Hybrid of PRNN and KNN,
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Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques
With per-method hyperparameter tuning, 50x top-k and DGC sparsification improved PTB LSTM perplexity by up to 0.06 over the uncompressed baseline, while QSGD and stronger compression performed at or below baseline.