155 citations · 313 across the 3 of their papers we have counts for
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cs.LG2018★ 151 cited
Large scale distributed neural network training through online distillation
Rohan Anil, Gabriel Pereyra, Alexandre Passos +3
Techniques such as ensembling and distillation promise model quality improvements when paired with almost any base model. However, due to increased test-time cost (for ensembles) a…
cs.LG2011★ 155 cited
Gossip Learning with Linear Models on Fully Distributed Data
Róbert Ormándi, István Hegedüs, Márk Jelasity
Machine learning over fully distributed data poses an important problem in peer-to-peer (P2P) applications. In this model we have one data record at each network node, but without…