Jakub Konecný

44 papers A* 2A 1Misc 1Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	A Rate-Distortion View on Model Updates. Tiny Papers @ ICLR Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný
2022	A*	`conf`	Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. ICLR Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecný, Andrew Hard, Tom Goldstein
2022	J	`jnl`	Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory. CoRR Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný
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	A*	`conf`	Adaptive Federated Optimization. ICLR Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, Hugh Brendan McMahan
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
2021	A	`conf`	Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning. AISTATS Zachary Charles, Jakub Konecný
2021	J	`jnl`	Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning. CoRR Zachary Charles, Jakub Konecný
2020	J	`jnl`	Adaptive Federated Optimization. CoRR Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan
2020	J	`jnl`	On the Outsized Importance of Learning Rates in Local Update Methods. CoRR Zachary Charles, Jakub Konecný
2019	J	`jnl`	A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion. CoRR Filip Hanzely, Jakub Konecný, Nicolas Loizou, Peter Richtárik, Dmitry Grishchenko
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR 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, 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, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, 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	Misc	`conf`	Federated Learning with Autotuned Communication-Efficient Secure Aggregation. ACSSC Kallista A. Bonawitz, Fariborz Salehi, Jakub Konecný, Brendan McMahan, Marco Gruteser
2019	J	`jnl`	Federated Learning with Autotuned Communication-Efficient Secure Aggregation. CoRR Kallista A. Bonawitz, Fariborz Salehi, Jakub Konecný, Brendan McMahan, Marco Gruteser
2019	J	`jnl`	Improving Federated Learning Personalization via Model Agnostic Meta Learning. CoRR Yihan Jiang, Jakub Konecný, Keith Rush, Sreeram Kannan
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
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`	Expanding the Reach of Federated Learning by Reducing Client Resource Requirements. CoRR Sebastian Caldas, Jakub Konecný, H. Brendan McMahan, Ameet Talwalkar
2018	J	`jnl`	LEAF: A Benchmark for Federated Settings. CoRR Sebastian Caldas, Peter Wu, Tian Li, Jakub Konecný, H. Brendan McMahan, Virginia Smith, Ameet Talwalkar
2018	J	`jnl`	Randomized Distributed Mean Estimation: Accuracy vs. Communication. Frontiers Appl. Math. Stat. Jakub Konecný, Peter Richtárik
2017	J	`jnl`	Distributed optimization with arbitrary local solvers. Optim. Methods Softw. Chenxin Ma, Jakub Konecný, Martin Jaggi, Virginia Smith, Michael I. Jordan, Peter Richtárik, Martin Takác
2017	—	`conf`	On practical deployment of smart card based authenticated key agreement schemes. ICUMT Lukas Malina, Jakub Konecný, Petr Dzurenda, Jan Hajny
2017	—	`ch.`	One-Shot-Learning Gesture Recognition Using HOG-HOF Features. Gesture Recognition Jakub Konecný, Michal Hagara
2017	J	`jnl`	Semi-Stochastic Gradient Descent Methods. Frontiers Appl. Math. Stat. Jakub Konecný, Peter Richtárik
2017	J	`jnl`	Semi-stochastic coordinate descent. Optim. Methods Softw. Jakub Konecný, Zheng Qu, Peter Richtárik
2017	J	`jnl`	Stochastic, Distributed and Federated Optimization for Machine Learning. CoRR Jakub Konecný
2017	—	`—`	Stochastic, distributed and federated optimization for machine learning Jakub Konecný
2016	J	`jnl`	AIDE: Fast and Communication Efficient Distributed Optimization. CoRR Sashank J. Reddi, Jakub Konecný, Peter Richtárik, Barnabás Póczos, Alexander J. Smola
2016	J	`jnl`	Federated Learning: Strategies for Improving Communication Efficiency. CoRR Jakub Konecný, H. Brendan McMahan, Felix X. Yu, Peter Richtárik, Ananda Theertha Suresh, Dave Bacon
2016	J	`jnl`	Federated Optimization: Distributed Machine Learning for On-Device Intelligence. CoRR Jakub Konecný, H. Brendan McMahan, Daniel Ramage, Peter Richtárik
2016	J	`jnl`	Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. IEEE J. Sel. Top. Signal Process. Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
2016	J	`jnl`	Randomized Distributed Mean Estimation: Accuracy vs Communication. CoRR Jakub Konecný, Peter Richtárik
2015	J	`jnl`	Distributed Optimization with Arbitrary Local Solvers. CoRR Chenxin Ma, Jakub Konecný, Martin Jaggi, Virginia Smith, Michael I. Jordan, Peter Richtárik, Martin Takác
2015	J	`jnl`	Federated Optimization: Distributed Optimization Beyond the Datacenter. CoRR Jakub Konecný, Brendan McMahan, Daniel Ramage
2015	J	`jnl`	Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. CoRR Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
2015	J	`jnl`	Stop Wasting My Gradients: Practical SVRG. CoRR Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konecný, Scott Sallinen
2015	—	`conf`	StopWasting My Gradients: Practical SVRG. NIPS Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konecný, Scott Sallinen
2014	J	`jnl`	One-shot-learning gesture recognition using HOG-HOF features. J. Mach. Learn. Res. Jakub Konecný, Michal Hagara
2014	J	`jnl`	Semi-Stochastic Coordinate Descent. CoRR Jakub Konecný, Zheng Qu, Peter Richtárik
2014	J	`jnl`	Simple Complexity Analysis of Direct Search. CoRR Jakub Konecný, Peter Richtárik
2014	J	`jnl`	mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. CoRR Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
2013	J	`jnl`	One-Shot-Learning Gesture Recognition using HOG-HOF Features. CoRR Jakub Konecný, Michal Hagara
2013	J	`jnl`	Semi-Stochastic Gradient Descent Methods. CoRR Jakub Konecný, Peter Richtárik