JK
Jakub Konečný
cs.LGstat.MLmath.OCcs.DCcs.NAmath.NAcs.CRcs.CCcs.CVcs.DB
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
28 papers in the corpus · 2013–2022Semi-Stochastic Coordinate Descent1412.6293v1 · Jakub Konecn'y, Zheng Qu, Peter Richt'arik2014 · 91 citationsarXiv
Randomized Distributed Mean Estimation: Accuracy vs Communication1611.07555v1 · Jakub Konecn'y, Peter Richt'arik2016 · 82 citationsarXiv
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion1901.09367v1 · Filip Hanzely, Jakub Konecn'y, Nicolas Loizou et al.2019 · 7 citationsarXiv
Improving Federated Learning Personalization via Model Agnostic Meta Learning1909.12488v2 · Yihan Jiang, Jakub Konecn'y, Keith Rush et al.2019 · 365 citationsarXiv
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory2201.02664v3 · Nicole Mitchell, Johannes Ball'e, Zachary Charles et al.2022 · 0 citationsarXiv
Adaptive Federated Optimization2003.00295v5 · Sashank Reddi, Zachary Charles, Manzil Zaheer et al.2020 · 126 citationsarXiv
A Field Guide to Federated Optimization2107.06917v1 · Jianyu Wang, Zachary Charles, Zheng Xu et al.2021 · 167 citationsarXiv
Advances and Open Problems in Federated Learning1912.04977v3 · Peter Kairouz, H. Brendan McMahan, Brendan Avent et al.2019 · 6,306 citationsarXiv
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning2103.05032v1 · Zachary Charles, Jakub Konecn'y2021 · 12 citationsProceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021. PMLR: Volume 130
On the Outsized Importance of Learning Rates in Local Update Methods2007.00878v1 · Zachary Charles, Jakub Konecn'y2020 · 19 citationsarXiv
LEAF: A Benchmark for Federated Settings1812.01097v3 · Sebastian Caldas, Sai Meher Karthik Duddu, Peter Wu et al.2018 · 281 citationsarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
Federated Learning with Autotuned Communication-Efficient Secure Aggregation1912.00131v1 · Keith Bonawitz, Fariborz Salehi, Jakub Konecn'y et al.2019 · 80 citationsarXiv
Towards Federated Learning at Scale: System Design1902.01046v2 · Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp et al.2019 · 938 citationsarXiv
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements1812.07210v2 · Sebastian Caldas, Jakub Konecny, H. Brendan McMahan et al.2018 · 313 citationsarXiv
Federated Learning: Strategies for Improving Communication Efficiency1610.05492v2 · Jakub Konecn'y, H. Brendan McMahan, Felix X. Yu et al.2016 · 3,032 citationsarXiv
Stochastic, Distributed and Federated Optimization for Machine Learning1707.01155v1 · Jakub Konecn'y2017 · 31 citationsarXiv
Privacy Preserving Randomized Gossip Algorithms1706.07636v1 · Filip Hanzely, Jakub Konecn'y, Nicolas Loizou et al.2017 · 16 citationsarXiv
Federated Optimization: Distributed Machine Learning for On-Device Intelligence1610.02527v1 · Jakub Konecn'y, H. Brendan McMahan, Daniel Ramage et al.2016 · 1,627 citationsarXivon Valency
AIDE: Fast and Communication Efficient Distributed Optimization1608.06879v1 · Sashank J. Reddi, Jakub Konecn'y, Peter Richt'arik et al.2016 · 101 citationsarXiv
Stop Wasting My Gradients: Practical SVRG1511.01942v1 · Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani et al.2015 · 83 citationsarXiv
Distributed Optimization with Arbitrary Local Solvers1512.04039v2 · Chenxin Ma, Jakub Konecn'y, Martin Jaggi et al.2015 · 200 citationsarXiv
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting1504.04407v2 · Jakub Konecn'y, Jie Liu, Peter Richt'arik et al.2015 · 271 citationsarXiv
Federated Optimization:Distributed Optimization Beyond the Datacenter1511.03575v1 · Jakub Konecn'y, Brendan McMahan, Daniel Ramage2015 · 568 citationsarXiv
Semi-Stochastic Gradient Descent Methods1312.1666v2 · Jakub Konecn'y, Peter Richt'arik2013 · 136 citationsarXiv
Simple Complexity Analysis of Simplified Direct Search1410.0390v2 · Jakub Konecn'y, Peter Richt'arik2014 · 14 citationsarXiv
mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting1410.4744v1 · Jakub Konecn'y, Jie Liu, Peter Richt'arik et al.2014 · 4 citationsarXiv
One-Shot-Learning Gesture Recognition using HOG-HOF Features1312.4190v2 · Jakub Konecn'y, Michal Hagara2013 · 78 citationsarXiv
Career total: 33 works. 28 are in this corpus.
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