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cs.LG2024
Adaptive Consensus Gradients Aggregation for Scaled Distributed Training
Yoni Choukroun, Shlomi Azoulay, Pavel Kisilev
Distributed machine learning has recently become a critical paradigm for training large models on vast datasets. We examine the stochastic optimization problem for deep learning wi…
cs.LG2019
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun, Eli Kravchik, Fan Yang +1
Recent machine learning methods use increasingly large deep neural networks to achieve state of the art results in various tasks. The gains in performance come at the cost of a sub…