5.1k citations · 11.1k across the 14 of their papers we have counts for
1 paper · 2 filters
Jakub Konečný, Brendan McMahan, Daniel Ramage
We introduce a new and increasingly relevant setting for distributed optimization in machine learning, where the data defining the optimization are distributed (unevenly) over an e…