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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...
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10/22/2019
Federated Evaluation of On-device Personalization
Federated learning is a distributed, on-device computation framework tha...
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04/23/2019
Semi-Cyclic Stochastic Gradient Descent
We consider convex SGD updates with a block-cyclic structure, i.e. where...
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02/04/2019
Towards Federated Learning at Scale: System Design
Federated Learning is a distributed machine learning approach which enab...
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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
