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| Towards federated learning at scale: Syste m design K Bonawitz arXiv preprint arXiv:1902.01046, 2019 | 3189 | 2019 |
| Federated learning for mobile keyboard prediction A Hard, K Rao, R Mathews, S Ramaswamy, F Beaufays, S Augenstein, ... arXiv preprint arXiv:1811.03604, 2018 | 1711 | 2018 |
| Applied federated learning: Improving google keyboard query suggestions T Yang, G Andrew, H Eichner, H Sun, W Li, N Kong, D Ramage, ... arXiv preprint arXiv:1812.02903, 2018 | 711 | 2018 |
| A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 365 | 2021 |
| Federated evaluation of on-device personalization K Wang, R Mathews, C Kiddon, H Eichner, F Beaufays, D Ramage arXiv preprint arXiv:1910.10252, 2019 | 337 | 2019 |
| Internal structure of the fly elementary motion detector H Eichner, M Joesch, B Schnell, DF Reiff, A Borst Neuron 70 (6), 1155-1164, 2011 | 208 | 2011 |
| Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021 | 194 | 2021 |
| Semi-cyclic stochastic gradient descent H Eichner, T Koren, B McMahan, N Srebro, K Talwar International Conference on Machine Learning, 1764-1773, 2019 | 124 | 2019 |
| Functional specialization of parallel motion detection circuits in the fly M Joesch, F Weber, H Eichner, A Borst Journal of Neuroscience 33 (3), 902-905, 2013 | 88 | 2013 |
| Federated learning for mobile keyboard prediction (2018) A Hard, K Rao, R Mathews, S Ramaswamy, F Beaufays, S Augenstein, ... arXiv preprint arXiv:1811.03604, 1811 | 66 | 1811 |
| Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors ML Hines, H Eichner, F Schürmann Journal of computational neuroscience 25, 203-210, 2008 | 55 | 2008 |
| Towards federated learning at scale: system design (2019) K Bonawitz, H Eichner, W Grieskamp, D Huba, A Ingerman, V Ivanov, ... arXiv preprint arXiv:1902.01046, 1902 | 55 | 1902 |
| Federated learning for mobile keyboard prediction. arXiv 2018 A Hard, K Rao, R Mathews, S Ramaswamy, F Beaufays, S Augenstein, ... arXiv preprint arXiv:1811.03604, 2018 | 44 | 2018 |
| Neural simulations on multi-core architectures H Eichner, T Klug, A Borst Frontiers in neuroinformatics 3, 476, 2009 | 41 | 2009 |
| Towards federated learning at scale: System design. arXiv 2019 K Bonawitz, H Eichner, W Grieskamp, D Huba, A Ingerman, V Ivanov, ... arXiv preprint arXiv:1902.01046, 1902 | 38 | 1902 |
| Coding efficiency of fly motion processing is set by firing rate, not firing precision DL Spavieri Jr, H Eichner, A Borst PLoS computational biology 6 (7), e1000860, 2010 | 20 | 2010 |
| Eigenanalysis of a neural network for optic flow processing F Weber, H Eichner, H Cuntz, A Borst New Journal of Physics 10 (1), 015013, 2008 | 18 | 2008 |
| Neural mechanisms underlying sensitivity to reverse-phi motion in the fly A Leonhardt, M Meier, E Serbe, H Eichner, A Borst PloS one 12 (12), e0189019, 2017 | 17 | 2017 |
| Hardware instruction counting for log-based rollback recovery on x86-family processors D Stodden, H Eichner, M Walter, C Trinitis Service Availability: Third International Service Availability Symposium …, 2006 | 8 | 2006 |
