56 citations · 197 across the 22 of their papers we have counts for
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cs.LG2019
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a cen…
cs.DS2019
Towards a Theory of Parameterized Streaming Algorithms
Rajesh Chitnis, Graham Cormode
Parameterized complexity attempts to give a more fine-grained analysis of the complexity of problems: instead of measuring the running time as a function of only the input size, we…
cs.LG2019★ 1 cited
Iterative Hessian Sketch in Input Sparsity Time
Graham Cormode, Charlie Dickens
Scalable algorithms to solve optimization and regression tasks even approximately, are needed to work with large datasets. In this paper we study efficient techniques from matrix s…