Hubert Eichner
Google (United States)(US)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Neural dynamics and brain function, Neurobiology and Insect Physiology Research, Mobile Crowdsensing and Crowdsourcing, Parallel Computing and Optimization Techniques
Most-Cited Works
- → Advances and Open Problems in Federated Learning(2020)4,363 cited
- → Federated Learning for Mobile Keyboard Prediction(2018)1,105 cited
- → Towards Federated Learning at Scale: System Design(2019)954 cited
- → Applied Federated Learning: Improving Google Keyboard Query Suggestions(2018)449 cited
- → Internal Structure of the Fly Elementary Motion Detector(2011)177 cited
- → A Field Guide to Federated Optimization(2021)167 cited
- → Federated Evaluation of On-device Personalization(2019)117 cited
- → Functional Specialization of Parallel Motion Detection Circuits in the Fly(2013)69 cited
- → Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors(2008)52 cited