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cs.DC2019
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Keith Bonawitz, Fariborz Salehi, Jakub Konečný +2
Federated Learning enables mobile devices to collaboratively learn a shared inference model while keeping all the training data on a user's device, decoupling the ability to do mac…
cs.DC2016★ 8 cited
Randomized Distributed Mean Estimation: Accuracy vs Communication
Jakub Konečný, Peter Richtárik
We consider the problem of estimating the arithmetic average of a finite collection of real vectors stored in a distributed fashion across several compute nodes subject to a commun…