Hubert Eichner

19 papers A* 1C 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Confidential Federated Computations. CoRR Hubert Eichner, Daniel Ramage, Kallista A. Bonawitz, Dzmitry Huba, Tiziano Santoro, Brett McLarnon, Timon Van Overveldt, Nova Fallen, Peter Kairouz, Albert Cheu, Katharine Daly, Adrià Gascón, Marco Gruteser, Brendan McMahan
2024	—	`conf`	Federated Learning in Practice: Reflections and Projections. TPS-ISA Katharine Daly, Hubert Eichner, Peter Kairouz, H. Brendan McMahan, Daniel Ramage, Zheng Xu
2024	J	`jnl`	Federated Learning in Practice: Reflections and Projections. CoRR Katharine Daly, Hubert Eichner, Peter Kairouz, H. Brendan McMahan, Daniel Ramage, Zheng Xu
2022	J	`jnl`	Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2019	J	`jnl`	Federated Evaluation of On-device Personalization. CoRR Kangkang Wang, Rajiv Mathews, Chloé Kiddon, Hubert Eichner, Françoise Beaufays, Daniel Ramage
2019	A*	`conf`	Semi-Cyclic Stochastic Gradient Descent. ICML Hubert Eichner, Tomer Koren, Brendan McMahan, Nathan Srebro, Kunal Talwar
2019	J	`jnl`	Semi-Cyclic Stochastic Gradient Descent. CoRR Hubert Eichner, Tomer Koren, H. Brendan McMahan, Nathan Srebro, Kunal Talwar
2019	—	`conf`	Towards Federated Learning at Scale: System Design. SysML Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander
2019	J	`jnl`	Towards Federated Learning at Scale: System Design. CoRR Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander
2018	J	`jnl`	Applied Federated Learning: Improving Google Keyboard Query Suggestions. CoRR Timothy Yang, Galen Andrew, Hubert Eichner, Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Françoise Beaufays
2018	J	`jnl`	Federated Learning for Mobile Keyboard Prediction. CoRR Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage
2010	J	`jnl`	Coding Efficiency of Fly Motion Processing Is Set by Firing Rate, Not Firing Precision. PLoS Comput. Biol. Deusdedit Lineu Spavieri Jr., Hubert Eichner, Alexander Borst
2009	J	`jnl`	Neural simulations on multi-core architectures. Frontiers Neuroinformatics Hubert Eichner, Tobias Klug, Alexander Borst
2008	J	`jnl`	Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors. J. Comput. Neurosci. Michael L. Hines, Hubert Eichner, Felix Schürmann
2006	—	`conf`	Hardware Instruction Counting for Log-Based Rollback Recovery on x86-Family Processors. ISAS Daniel Stodden, Hubert Eichner, Max Walter, Carsten Trinitis
2006	C	`conf`	Implementation of a DSM-System on Top of InfiniBand. PDP Hubert Eichner, Carsten Trinitis, Tobias Klug
2006	—	`conf`	Software Shared Memory Communications with InfiniBand. ARCS Workshops Hubert Eichner, Carsten Trinitis, Tobias Klug