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06/26/2023
Private Federated Learning in Gboard
This white paper describes recent advances in Gboard(Google Keyboard)'s ...
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08/23/2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning
While recent works have indicated that federated learning (FL) is vulner...
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04/02/2020
Mapping Three Decades of Intellectual Change in Academia
Research on the development of science has focused on the creation of mu...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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11/15/2019
Generative Models for Effective ML on Private, Decentralized Datasets
To improve real-world applications of machine learning, experienced mode...
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10/31/2019
Context-Aware Local Differential Privacy
Local differential privacy (LDP) is a strong notion of privacy for indiv...
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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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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
Federated Learning for Mobile Keyboard Prediction
We train a recurrent neural network language model using a distributed, ...
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11/14/2016
Practical Secure Aggregation for Federated Learning on User-Held Data
Secure Aggregation protocols allow a collection of mutually distrust par...
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02/24/2016