71 citations · 253 across the 31 of their papers we have counts for
Showing 2013Show all
3 papers · 1 filter
stat.ML2013★ 5 cited
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML
Jinliang Wei, Wei Dai, Abhimanu Kumar +3
In distributed ML applications, shared parameters are usually replicated among computing nodes to minimize network overhead. Therefore, proper consistency model must be carefully c…
stat.ML2013
Structure-Aware Dynamic Scheduler for Parallel Machine Learning
Seunghak Lee, Jin Kyu Kim, Qirong Ho +2
Training large machine learning (ML) models with many variables or parameters can take a long time if one employs sequential procedures even with stochastic updates. A natural solu…
stat.ML2013★ 9 cited
Petuum: A New Platform for Distributed Machine Learning on Big Data
Eric P. Xing, Qirong Ho, Wei Dai +7
What is a systematic way to efficiently apply a wide spectrum of advanced ML programs to industrial scale problems, using Big Models (up to 100s of billions of parameters) on Big D…