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Practical and Private (Deep) Learning without Sampling or Shuffling

Feb 26, 2021
Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu

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Federated Learning with Autotuned Communication-Efficient Secure Aggregation

Nov 30, 2019
Keith Bonawitz, Fariborz Salehi, Jakub Konečný, Brendan McMahan, Marco Gruteser

* 5 pages, 3 figures. To appear at the IEEE Asilomar Conference on Signals, Systems, and Computers 2019 

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Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization

Jul 31, 2018
Blake Woodworth, Jialei Wang, Brendan McMahan, Nathan Srebro

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Federated Optimization:Distributed Optimization Beyond the Datacenter

Nov 11, 2015
Jakub Konečný, Brendan McMahan, Daniel Ramage

* NIPS workshop version 

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