41 citations · 144 across the 7 of their papers we have counts for
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stat.ML2016★ 31 cited
CYCLADES: Conflict-free Asynchronous Machine Learning
Xinghao Pan, Maximilian Lam, Stephen Tu +6
We present CYCLADES, a general framework for parallelizing stochastic optimization algorithms in a shared memory setting. CYCLADES is asynchronous during shared model updates, and…
cs.LG2016★ 3 cited
Revisiting Distributed Synchronous SGD
Jianmin Chen, Xinghao Pan, Rajat Monga +2
Distributed training of deep learning models on large-scale training data is typically conducted with asynchronous stochastic optimization to maximize the rate of updates, at the c…