Jakub Konečný

1. Towards Federated Learning at Scale: System Design
   2019/02/04 by Keith Bonawitz, Hubert Eichner, Bonawitz, Keith +26 · 2 voices · 130 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Mobile Crowdsensing and Crowdsourcing #Advanced Graph Neural Networks
2. Advances and Open Problems in Federated Learning
   2019/12/10 by Peter Kairouz, H. Brendan McMahan, Kairouz, Peter +115 · 375 citations
   Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Federated Learning: Strategies for Improving Communication Efficiency
   2016/10/18 by Jakub Konečný, Konečný, Jakub, H. Brendan McMahan +9 · 118 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
4. LEAF: A Benchmark for Federated Settings
   2018/12/03 by Sebastian Caldas, Caldas, Sebastian, Peter Wu +12 · 89 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
5. Federated Optimization: Distributed Machine Learning for On-Device Intelligence
   2016/10/08 by Jakub Konečný, H. Brendan McMahan, Konečný, Jakub +5 · 67 citations
   Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
6. Improving Federated Learning Personalization via Model Agnostic Meta Learning
   2019/09/27 by Yihan Jiang, Jakub Konečný, Jiang, Yihan +5 · 23 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
7. Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
   2018/12/18 by Sebastian Caldas, Jakub Konečný, Caldas, Sebastian +5 · 14 citations
   Computer Science · Engineering · #Advanced Graph Neural Networks #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Wireless Communication Security Techniques #and Cluster Computing (cs.DC)
8. A Field Guide to Federated Optimization
   2021/07/14 by Jianyu Wang, Zachary Charles, Wang, Jianyu +103 · 18 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
9. AIDE: Fast and Communication Efficient Distributed Optimization
   2016/08/24 by Sashank J. Reddi, Reddi, Sashank J., Jakub Konečný +7 · 8 citations
   Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
10. On the Outsized Importance of Learning Rates in Local Update Methods
    2020/07/02 by Zachary Charles, Charles, Zachary, Jakub Konečný +1 · 7 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Domain Adaptation and Few-Shot Learning
11. Privacy Preserving Randomized Gossip Algorithms
    2017/06/23 by Filip Hanzely, Jakub Konečný, Hanzely, Filip +7 · 2 citations
    Computer Science · #Distributed Control Multi-Agent Systems #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data
12. Federated Learning with Autotuned Communication-Efficient Secure\n Aggregation
    2019/11/29 by Keith Bonawitz, Bonawitz, Keith, Fariborz Salehi +7 · 1 citation
    Computer Science · Engineering · #Cryptography and Data Security #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Wireless Communication Security Techniques #and Cluster Computing (cs.DC)