26 citations · 26 across the 1 of their papers we have counts for
2 papers
cs.LG2016
Towards Geo-Distributed Machine Learning
Ignacio Cano, Markus Weimer, Dhruv Mahajan +2
Latency to end-users and regulatory requirements push large companies to build data centers all around the world. The resulting data is "born" geographically distributed. On the ot…
cs.DC2013★ 26 cited
Iterative MapReduce for Large Scale Machine Learning
Joshua Rosen, Neoklis Polyzotis, Vinayak Borkar +5
Large datasets ("Big Data") are becoming ubiquitous because the potential value in deriving insights from data, across a wide range of business and scientific applications, is incr…