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08/20/2022
Adam Can Converge Without Any Modification on Update Rules
Ever since Reddi et al. 2018 pointed out the divergence issue of Adam, m...
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05/28/2022
Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis
Distributed adaptive stochastic gradient methods have been widely used f...
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01/14/2021
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
Adam is one of the most influential adaptive stochastic algorithms for t...
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04/29/2020
Quantized Adam with Error Feedback
In this paper, we present a distributed variant of adaptive stochastic g...
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05/10/2018
