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McMahan, H. Brendan

  1. Towards Federated Learning at Scale: System Design
    2019/02/04 by Keith Bonawitz, Hubert Eichner, Bonawitz, Keith +26 · 2 voices · 101 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 Kairouz, Peter, McMahan, H. Brendan, Avent, Brendan +56 · 223 citations
    #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 Konečný, Jakub, McMahan, H. Brendan, Yu, Felix X. +3 · 83 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Adaptive Federated Optimization
    2020/02/29 by Reddi, Sashank, Charles, Zachary, Zaheer, Manzil +5 · 73 citations
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  5. LEAF: A Benchmark for Federated Settings
    2018/12/03 by Sebastian Caldas, Caldas, Sebastian, Peter Wu +12 · 71 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  6. Online convex optimization in the bandit setting: gradient descent without a gradient
    2004/08/02 by Abraham D. Flaxman, Flaxman, Abraham D., Adam Tauman Kalai +3 · 30 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques #cs.CC #cs.LG
  7. Federated Optimization: Distributed Machine Learning for On-Device Intelligence
    2016/10/08 by Jakub Konečný, H. Brendan McMahan, Konečný, Jakub +5 · 44 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
  8. Practical Secure Aggregation for Federated Learning on User-Held Data
    2016/11/14 by Bonawitz, Keith, Vladimir Ivanov, Ben Kreuter +14 · 24 citations
    Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  9. Distributed Mean Estimation with Limited Communication
    2016/11/02 by Ananda Theertha Suresh, Suresh, Ananda Theertha, Felix X. Yu +5 · 27 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms
  10. Differentially Private Learning with Adaptive Clipping
    2019/05/09 by Galen Andrew, Om Thakkar, Andrew, Galen +5 · 29 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Cryptography and Data Security
  11. Can You Really Backdoor Federated Learning?
    2019/11/18 by Sun, Ziteng, Kairouz, Peter, Suresh, Ananda Theertha +1 · 16 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
    2018/12/18 by Sebastian Caldas, Jakub Konečný, Caldas, Sebastian +5 · 13 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)
  13. A Field Guide to Federated Optimization
    2021/07/14 by Jianyu Wang, Wang, Jianyu, Zachary Charles +103 · 15 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
  14. Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations
    2014/03/03 by H. Brendan McMahan, Francesco Orabona, McMahan, H. Brendan +1 · 13 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Optimization and Search Problems
  15. Is Local SGD Better than Minibatch SGD?
    2020/02/18 by Woodworth, Blake, Patel, Kumar Kshitij, Stich, Sebastian U. +5 · 6 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  16. A General Approach to Adding Differential Privacy to Iterative Training Procedures
    2018/12/15 by H. Brendan McMahan, McMahan, H. Brendan, Galen Andrew +11 · 5 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  17. Fine-Tuning Large Language Models with User-Level Differential Privacy
    2024/07/10 by Zachary Charles, Arun Ganesh, Charles, Zachary +11 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  18. Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
    2022/11/12 by Christopher A. Choquette-Choo, H. Brendan McMahan, Choquette-Choo, Christopher A. +5 · 7 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Error Correcting Code Techniques
  19. Less Regret via Online Conditioning
    2010/02/25 by Streeter, Matthew, McMahan, H. Brendan · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Federated Learning of Gboard Language Models with Differential Privacy
    2023/05/29 by Xu, Zheng, Zhang, Yanxiang, Andrew, Galen +5 · 7 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Training Production Language Models without Memorizing User Data
    2020/09/21 by Swaroop Ramaswamy, Ramaswamy, Swaroop, Om Thakkar +9 · 3 citations
    Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  22. Generative Models for Effective ML on Private, Decentralized Datasets
    2019/11/15 by Augenstein, Sean, McMahan, H. Brendan, Ramage, Daniel +5 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. (Amplified) Banded Matrix Factorization: A unified approach to private training
    2023/06/13 by Christopher A. Choquette-Choo, Choquette-Choo, Christopher A., Arun Ganesh +11 · 5 citations
    Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  24. One-shot Empirical Privacy Estimation for Federated Learning
    2023/02/06 by Galen Andrew, Peter Kairouz, Andrew, Galen +9 · 4 citations
    Computer Science · #Privacy-Preserving Technologies in Data
  25. Unleashing the Power of Randomization in Auditing Differentially Private ML
    2023/05/29 by Krishna Pillutla, Galen Andrew, Pillutla, Krishna +9 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Statistics Theory (math.ST)
  26. Federated Learning in Practice: Reflections and Projections
    2024/10/11 by Katharine Daly, Hubert Eichner, Daly, Katharine +9 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  27. Minimax Optimal Algorithms for Unconstrained Linear Optimization
    2013/02/08 by McMahan, H. Brendan · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy
    2024/04/25 by Krishnamurthy Dvijotham, H. Brendan McMahan, Dvijotham, Krishnamurthy +7 · 1 voice · 2 citations
    Computer Science · Engineering · #Advanced MIMO Systems Optimization #Power Line Communications and Noise #Privacy-Preserving Technologies in Data #cs.CC #cs.CR #cs.DS #cs.LG
  29. Can Public Large Language Models Help Private Cross-device Federated Learning?
    2023/05/20 by Wang, Boxin, Zhang, Yibo Jacky, Cao, Yuan +5 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Semi-Cyclic Stochastic Gradient Descent
    2019/04/23 by Eichner, Hubert, Koren, Tomer, McMahan, H. Brendan +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. Privacy Amplification via Random Check-Ins
    2020/07/13 by Balle, Borja, Kairouz, Peter, McMahan, H. Brendan +2 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. Differentially Private Adaptive Optimization with Delayed Preconditioners
    2022/12/01 by Li, Tian, Zaheer, Manzil, Liu, Ken Ziyu +3 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. Correlated Noise Mechanisms for Differentially Private Learning
    2025/06/09 by Krishna Pillutla, Jalaj Upadhyay, Pillutla, Krishna +21 · 3 citations
    Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Random Matrices and Applications
  34. A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
    2024/08/16 by H. Brendan McMahan, McMahan, H. Brendan, Zheng Xu +3 · 1 citation
    Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data