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Jakub Kone\v{c}n\'y — most-cited papers & profile · Federated Learning
← authors
·
overview
Jakub Kone\v{c}n\'y
12
papers ·
6504
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Learning: Strategies for Improving Communication Efficiency
2016 · 3050 citations
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
2016 · 1655 citations
Towards Federated Learning at Scale: System Design
2019 · 958 citations
Improving Federated Learning Personalization via Model Agnostic Meta Learning
2019 · 369 citations
LEAF: A Benchmark for Federated Settings
2018 · 285 citations
Adaptive Federated Optimization
2020 · 128 citations
Stochastic, Distributed and Federated Optimization for Machine Learning
2017 · 32 citations
On the Outsized Importance of Learning Rates in Local Update Methods
2020 · 20 citations
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
2021 · 7 citations
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
2019
Advances and Open Problems in Federated Learning
2019
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory
2022
Top co-authors
H. Brendan McMahan
· 5
Zachary Charles
· 4
Daniel Ramage
· 2
Keith Bonawitz
· 2
Keith Rush
· 2
Peter Richt\'arik
· 2
Adri\`a Gasc\'on
· 1
Aleksandra Korolova
· 1
Alex Ingerman
· 1
Ananda Theertha Suresh
· 1
Ananda Theertha Suresh
· 1
Arjun Nitin Bhagoji
· 1
Topics
Federated Learning
Optimization
Communication
Data Heterogeneity
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Edge Computing
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