178 citations · 987 across the 31 of their papers we have counts for
Showing 2018 · cs.DCShow all
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cs.DC2018★ 20 cited
Distributed Learning over Unreliable Networks
Chen Yu, Hanlin Tang, Cedric Renggli +5
Most of today's distributed machine learning systems assume {\em reliable networks}: whenever two machines exchange information (e.g., gradients or models), the network should guar…
cs.DC2018★ 175 cited
D: Decentralized Training over Decentralized Data
Hanlin Tang, Xiangru Lian, Ming Yan +2
While training a machine learning model using multiple workers, each of which collects data from their own data sources, it would be most useful when the data collected from differ…