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Found 3 papers, 1 papers with code
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
Distributed ML models trained by SGD involve large amounts of gradient communication, which limits the scalability of distributed ML.
Finding Materialized Models for Model Reuse
It uses a Gaussian mixture-based metric called separation degree to rank materialized models.
CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification
We propose Crowd-based neural networks for Text Sentiment Classification (CrowdTSC for short).
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