Momentum-based async SGD achieves optimal convergence rates for data-dependent delays without biasing updates toward simpler samples.
At stability’s edge: How to adjust hyperparameters to preserve minima selection in asynchronous training of neural networks?arXiv preprint arXiv:1909.12340
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Bringing Order to Asynchronous SGD: Towards Optimality under Data-Dependent Delays with Momentum
Momentum-based async SGD achieves optimal convergence rates for data-dependent delays without biasing updates toward simpler samples.