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Jakub Konecný · SciRah

Researcher profile · Semantic Scholar

Jakub Konecný

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Jakub Konecný — researcher profile on SciRah

h-index: 25
Works: 36
Citations: 30K

Most-cited papers

Advances and Open Problems in Federated Learning
Peter Kairouz, H. B. McMahan, Brendan Avent, A. Bellet +55 more
2019Found. Trends Mach. Learn.9,929 citations Open access
Semantic Scholar
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný, H. B. McMahan, Felix X. Yu, A. Suresh +2 more
2016arXiv.org5,697 citations
Semantic Scholar
Towards Federated Learning at Scale: System Design
Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba +10 more
2019USENIX workshop on Tackling computer systems problems with machine learning techniques3,387 citations
Semantic Scholar
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konecný, H. B. McMahan, Daniel Ramage, Peter Richtárik
2016arXiv.org2,298 citations
Semantic Scholar
Adaptive Federated Optimization
Sashank J. Reddi, Zachary B. Charles, M. Zaheer, Zachary Garrett +4 more
2020International Conference on Learning Representations2,214 citations
Semantic Scholar
LEAF: A Benchmark for Federated Settings
S. Caldas, Peter Wu, Tian Li, Jakub Konecný +3 more
2018arXiv.org1,867 citations
Semantic Scholar
Federated Optimization: Distributed Optimization Beyond the Datacenter
Jakub Konecný, H. B. McMahan, Daniel Ramage
2015arXiv.org840 citations
Semantic Scholar
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang, Jakub Konecný, Keith Rush, Sreeram Kannan
2019arXiv.org706 citations
Semantic Scholar
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
S. Caldas, Jakub Konecný, H. B. McMahan, A. Talwalkar
2018arXiv.org545 citations
Semantic Scholar
A Field Guide to Federated Optimization
Jianyu Wang, Zachary B. Charles, Zheng Xu, Gauri Joshi +49 more
2021arXiv.org497 citations
Semantic Scholar
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
2015IEEE Journal on Selected Topics in Signal Processing279 citations Open access
Semantic Scholar
Semi-Stochastic Gradient Descent Methods
Jakub Konecný, Peter Richtárik
2013Frontiers in Applied Mathematics and Statistics247 citations Open access
Semantic Scholar
Edinburgh Research Explorer Distributed Optimization with Arbitrary Local Solvers Optimization Methods and Software Distributed Optimization with Arbitrary Local Solvers Distributed Optimization with Arbitrary Local Solvers
Chen-Xin Ma, Jakub Konecný, Martin Jaggi, Virginia Smith +3 more
206 citations
Semantic Scholar
AIDE: Fast and Communication Efficient Distributed Optimization
Sashank J. Reddi, Jakub Konecný, Peter Richtárik, B. Póczos +1 more
2016arXiv.org156 citations
Semantic Scholar
StopWasting My Gradients: Practical SVRG
Reza Babanezhad, M. O. Ahmed, Alim Virani, M. Schmidt +2 more
2015Neural Information Processing Systems139 citations
Semantic Scholar
Randomized Distributed Mean Estimation: Accuracy vs. Communication
Jakub Konecný, Peter Richtárik
2016Frontiers in Applied Mathematics and Statistics111 citations Open access
Semantic Scholar
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
Zachary B. Charles, Jakub Konecný
2021International Conference on Artificial Intelligence and Statistics94 citations
Semantic Scholar
Semi-stochastic coordinate descent
Jakub Konecný, Zheng Qu, Peter Richtárik
2014Optim. Methods Softw.94 citations Open access
Semantic Scholar
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Keith Bonawitz, Fariborz Salehi, Jakub Konecný, B. McMahan +1 more
2019Asilomar Conference on Signals, Systems and Computers84 citations Open access
Semantic Scholar
One-shot-learning gesture recognition using HOG-HOF features
Jakub Konecný, Michal Hagara
2013Journal of machine learning research83 citations
Semantic Scholar
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles, Jakub Konecný
2020arXiv.org60 citations
Semantic Scholar
Stochastic, Distributed and Federated Optimization for Machine Learning
Jakub Konecný
2017arXiv.org38 citations
Semantic Scholar
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecný +2 more
2022International Conference on Learning Representations33 citations
Semantic Scholar
Simple Complexity Analysis of Simplified Direct Search
Jakub Konecný, Peter Richtárik
201432 citations
Semantic Scholar
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory
Nicole Mitchell, Johannes Ball'e, Zachary B. Charles, Jakub Konecný
2022arXiv.org28 citations
Semantic Scholar
MLSys: The New Frontier of Machine Learning Systems
Alexander J. Ratner, Dan Alistarh, G. Alonso, D. Andersen +65 more
201925 citations
Semantic Scholar
mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
2014arXiv.org25 citations
Semantic Scholar
SysML: The New Frontier of Machine Learning Systems
Alexander J. Ratner, Dan Alistarh, G. Alonso, D. Andersen +62 more
2019arXiv.org23 citations
Semantic Scholar
Privacy preserving randomized gossip algorithms
Filip Hanzely, Jakub Konecný, Nicolas Loizou, Peter Richtárik +1 more
201721 citations
Semantic Scholar
S2CD: Semi-stochastic coordinate descent
Jakub Konecný, Zheng Qu, Peter Richtárik
201418 citations
Semantic Scholar
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion
Filip Hanzely, Jakub Konecný, Nicolas Loizou, Peter Richtárik +1 more
2019arXiv.org11 citations
Semantic Scholar
Simple Complexity Analysis of Direct Search
Jakub Konecný, Peter Richtárik
2014arXiv.org4 citations
Semantic Scholar
Choosing a textbook set as one of the problems of the contemporary Russian didactics
Lenka Rozboudová, Jakub Konecný
20171 citations Open access
Semantic Scholar
On practical deployment of smart card based authenticated key agreement schemes
L. Malina, Jakub Konecný, Petr Dzurenda, J. Hajny
2017International Conference on Ultra Modern Telecommunications1 citations
Semantic Scholar
A Rate-Distortion View on Model Updates
Nicole Mitchell, Johannes Ballé, Zachary B. Charles, Jakub Konecný
2023Tiny Papers @ ICLR0 citations
Semantic Scholar
Sound systems of the Russian and Czech languages in the context of teaching Russian pronunciation to the Czechs
Elena L. Barhudarova, Jakub Konecný
2021Professor's Journal. Series: Russian and Literature: studying and teaching0 citations Open access
Semantic Scholar

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