Hubert Eichner | DeepAI

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∙ 09/30/2022

Federated Training of Dual Encoding Models on Small Non-IID Client Datasets

Dual encoding models that encode a pair of inputs are widely used for re...

0 Raviteja Vemulapalli, et al. ∙

∙ 10/22/2019

Federated Evaluation of On-device Personalization

Federated learning is a distributed, on-device computation framework tha...

0 Kangkang Wang, et al. ∙

∙ 04/23/2019

Semi-Cyclic Stochastic Gradient Descent

We consider convex SGD updates with a block-cyclic structure, i.e. where...

0 Hubert Eichner, et al. ∙

∙ 02/04/2019

Towards Federated Learning at Scale: System Design

Federated Learning is a distributed machine learning approach which enab...

0 Keith Bonawitz, et al. ∙

∙ 12/07/2018

Applied Federated Learning: Improving Google Keyboard Query Suggestions

Federated learning is a distributed form of machine learning where both ...

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∙ 11/08/2018

Federated Learning for Mobile Keyboard Prediction

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